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  "Title": "Compare Clusterings for Single-Cell Sequencing",
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  "Authors@R": "c(person(\"Elizabeth\", \"Purdom\", email = \"epurdom@stat.berkeley.edu\",\nrole = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Davide\",\"Risso\", role = \"aut\",email = \"risso.davide@gmail.com\"))",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:43:48 UTC",
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    "clusterDendrogram",
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    "ClusterFunction",
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    "clusterMatrix",
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    "clusterMatrixNamed",
    "clusterSingle",
    "clusterTypes",
    "clusterTypes<-",
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    "coClustering<-",
    "colDataClusters",
    "combineMany",
    "convertClusterLegend",
    "convertToDendrogram",
    "defaultNDims",
    "dendroClusterIndex",
    "eraseMergeInfo",
    "filterData",
    "filterNames",
    "getBestFeatures",
    "getBuiltInFunction",
    "getClusterIndex",
    "getClusterManyParams",
    "getMergeCorrespond",
    "getPostProcessingArgs",
    "getReducedData",
    "getSingleClusterIndex",
    "inputType",
    "internalFunctionCheck",
    "listBuiltInFilterStats",
    "listBuiltInFunctions",
    "listBuiltInReducedDims",
    "listBuiltInType01",
    "listBuiltInTypeK",
    "mainClustering",
    "makeBlankData",
    "makeConsensus",
    "makeDendrogram",
    "makeFilterStats",
    "makeReducedDims",
    "makeRsecFluidigmObject",
    "massivePalette",
    "mergeClusterIndex",
    "mergeClusters",
    "mergeCutoff",
    "mergeMethod",
    "nClusterings",
    "nClusters",
    "nFeatures",
    "nInternalNodes",
    "nNodes",
    "nodeIds",
    "nodeLabels",
    "nodeLabels<-",
    "nodeMergeInfo",
    "nSamples",
    "nTips",
    "numericalAsCharacter",
    "orderSamples",
    "orderSamples<-",
    "plotBarplot",
    "plotClusterLegend",
    "plotClusters",
    "plotClustersTable",
    "plotClustersWorkflow",
    "plotCoClustering",
    "plotContrastHeatmap",
    "plotDendrogram",
    "plotFeatureBoxplot",
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    "plotHeatmap",
    "plotReducedDims",
    "primaryCluster",
    "primaryClusterIndex",
    "primaryClusterIndex<-",
    "primaryClusterLabel",
    "primaryClusterNamed",
    "primaryClusterType",
    "recolorClusters",
    "removeClusterings",
    "removeClusters",
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    "renameClusters",
    "requiredArgs",
    "RSEC",
    "sampleDendrogram",
    "seqCluster",
    "seqPal1",
    "seqPal2",
    "seqPal3",
    "seqPal4",
    "seqPal5",
    "setBreaks",
    "setToCurrent",
    "setToFinal",
    "show",
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    "showPalette",
    "subsampleClustering",
    "subsetByCluster",
    "tableClusters",
    "transformation",
    "transformation<-",
    "transformData",
    "updateObject",
    "workflowClusterDetails",
    "workflowClusters",
    "workflowClusterTable"
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        "PCT_INTRONIC_BASES",
        "PCT_INTERGENIC_BASES",
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        "LibraryName",
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        "Cluster1",
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      "table": true,
      "tojson": true
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      "object": "fluidigmData",
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      "class": [
        "SimpleList"
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      "table": false,
      "tojson": false
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      "title": "Documentation of rsecFluidigm object",
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      "page": "addClusterings",
      "title": "Add clusterings to ClusterExperiment object",
      "topics": [
        "addClusterings",
        "addClusterings,ClusterExperiment,ClusterExperiment-method",
        "addClusterings,ClusterExperiment,matrix-method",
        "addClusterings,ClusterExperiment,vector-method",
        "removeClusterings"
      ]
    },
    {
      "page": "assignUnassigned",
      "title": "Assign unassigned samples to nearest cluster",
      "topics": [
        "assignUnassigned",
        "assignUnassigned,ClusterExperiment-method",
        "removeUnassigned",
        "removeUnassigned,ClusterExperiment-method"
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    {
      "page": "clusterContrasts",
      "title": "Create contrasts for testing DE of a cluster",
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        "clusterContrasts,ClusterExperiment-method",
        "clusterContrasts,vector-method"
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    },
    {
      "page": "clusterDendrogram",
      "title": "Accessing and manipulating the dendrograms",
      "topics": [
        "checkDendrogram",
        "checkDendrogram,ClusterExperiment,phylo4d,phylo4d-method",
        "clusterDendrogram",
        "clusterDendrogram,ClusterExperiment-method",
        "convertToDendrogram",
        "convertToDendrogram,ClusterExperiment-method",
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        "nInternalNodes,ClusterExperiment-method",
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        "nodeLabels",
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        "nodeLabels<-",
        "nodeLabels<-,ClusterExperiment-method",
        "nTips",
        "nTips,ClusterExperiment-method",
        "sampleDendrogram",
        "sampleDendrogram,ClusterExperiment-method"
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    {
      "page": "ClusterExperiment-class",
      "title": "Class ClusterExperiment",
      "topics": [
        "ClusterExperiment",
        "ClusterExperiment,matrixOrHDF5,ANY-method",
        "ClusterExperiment,SingleCellExperiment,character-method",
        "ClusterExperiment,SingleCellExperiment,factor-method",
        "ClusterExperiment,SingleCellExperiment,matrix-method",
        "ClusterExperiment,SingleCellExperiment,numeric-method",
        "ClusterExperiment,SummarizedExperiment,ANY-method",
        "ClusterExperiment-class"
      ]
    },
    {
      "page": "clusterExperiment-deprecated",
      "title": "Deprecated functions in package 'clusterExperiment'",
      "topics": [
        "clusterExperiment-deprecated",
        "combineMany",
        "combineMany,ANY-method"
      ]
    },
    {
      "page": "ClusterExperiment-methods",
      "title": "Helper methods for the ClusterExperiment class",
      "topics": [
        "addToColData",
        "addToColData,ClusterExperiment-method",
        "ClusterExperiment-methods",
        "clusteringInfo",
        "clusteringInfo,ClusterExperiment-method",
        "clusterLabels",
        "clusterLabels,ClusterExperiment-method",
        "clusterLabels<-",
        "clusterLabels<-,ClusterExperiment,character-method",
        "clusterLegend",
        "clusterLegend,ClusterExperiment-method",
        "clusterLegend<-",
        "clusterLegend<-,ClusterExperiment,list-method",
        "clusterMatrix",
        "clusterMatrix,ClusterExperiment-method",
        "clusterMatrixColors",
        "clusterMatrixColors,ClusterExperiment-method",
        "clusterMatrixNamed",
        "clusterMatrixNamed,ClusterExperiment-method",
        "clusterTypes",
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        "clusterTypes<-",
        "clusterTypes<-,ClusterExperiment,character-method",
        "coClustering",
        "coClustering,ClusterExperiment-method",
        "coClustering<-",
        "coClustering<-,ClusterExperiment,dsCMatrix-method",
        "coClustering<-,ClusterExperiment,matrix-method",
        "coClustering<-,ClusterExperiment,numeric-method",
        "colDataClusters",
        "colDataClusters,ClusterExperiment-method",
        "dendroClusterIndex",
        "dendroClusterIndex,ClusterExperiment-method",
        "nClusterings",
        "nClusterings,ClusterExperiment-method",
        "nClusters",
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        "orderSamples,ClusterExperiment-method",
        "orderSamples<-",
        "orderSamples<-,ClusterExperiment,numeric-method",
        "primaryCluster",
        "primaryCluster,ClusterExperiment-method",
        "primaryClusterIndex",
        "primaryClusterIndex,ClusterExperiment-method",
        "primaryClusterIndex<-",
        "primaryClusterIndex<-,ClusterExperiment,numeric-method",
        "primaryClusterLabel",
        "primaryClusterLabel,ClusterExperiment-method",
        "primaryClusterNamed",
        "primaryClusterNamed,ClusterExperiment-method",
        "primaryClusterType",
        "primaryClusterType,ClusterExperiment-method",
        "show",
        "show,ClusterExperiment-method",
        "transformation",
        "transformation,ClusterExperiment-method",
        "transformation<-",
        "transformation<-,ClusterExperiment,function-method"
      ]
    },
    {
      "page": "ClusterFunction-methods",
      "title": "Helper methods for the ClusterFunction class",
      "topics": [
        "algorithmType",
        "algorithmType,character-method",
        "algorithmType,ClusterFunction-method",
        "algorithmType,factor-method",
        "algorithmType,list-method",
        "ClusterFunction-methods",
        "inputType",
        "inputType,character-method",
        "inputType,ClusterFunction-method",
        "inputType,factor-method",
        "inputType,list-method",
        "requiredArgs",
        "requiredArgs,character-method",
        "requiredArgs,ClusterFunction-method",
        "requiredArgs,factor-method",
        "requiredArgs,list-method"
      ]
    },
    {
      "page": "clusterMany",
      "title": "Create a matrix of clustering across values of parameters",
      "topics": [
        "clusterMany",
        "clusterMany,ClusterExperiment-method",
        "clusterMany,data.frame-method",
        "clusterMany,matrixOrHDF5-method",
        "clusterMany,SingleCellExperiment-method",
        "clusterMany,SummarizedExperiment-method"
      ]
    },
    {
      "page": "clusterSingle",
      "title": "General wrapper method to cluster the data",
      "topics": [
        "clusterSingle",
        "clusterSingle,ClusterExperiment-method",
        "clusterSingle,matrixOrHDF5OrNULL-method",
        "clusterSingle,SingleCellExperiment-method",
        "clusterSingle,SummarizedExperiment-method"
      ]
    },
    {
      "page": "fluidigmData",
      "title": "Subset of fluidigm data",
      "topics": [
        "fluidigmColData",
        "fluidigmData"
      ]
    },
    {
      "page": "getBestFeatures",
      "title": "Function for finding best features associated with clusters",
      "topics": [
        "getBestFeatures",
        "getBestFeatures,ClusterExperiment-method",
        "getBestFeatures,matrixOrHDF5-method"
      ]
    },
    {
      "page": "getClusterIndex",
      "title": "getClusterIndex",
      "topics": [
        "getClusterIndex",
        "getClusterIndex,ClusterExperiment-method",
        "getSingleClusterIndex",
        "getSingleClusterIndex,ClusterExperiment-method"
      ]
    },
    {
      "page": "getClusterManyParams",
      "title": "Get parameter values of clusterMany clusters",
      "topics": [
        "getClusterManyParams",
        "getClusterManyParams,ClusterExperiment-method"
      ]
    },
    {
      "page": "reduceFunctions",
      "title": "Return matrix from ClusterExperiment with reduced dimensions",
      "topics": [
        "defaultNDims",
        "defaultNDims,matrixOrHDF5-method",
        "defaultNDims,SingleCellExperiment-method",
        "filterData",
        "filterData,SummarizedExperiment-method",
        "filterNames",
        "filterNames,SummarizedExperiment-method",
        "getReducedData",
        "getReducedData,ClusterExperiment-method",
        "listBuiltInFilterStats",
        "listBuiltInReducedDims",
        "makeFilterStats",
        "makeFilterStats,ClusterExperiment-method",
        "makeFilterStats,matrixOrHDF5-method",
        "makeFilterStats,SummarizedExperiment-method",
        "makeReducedDims",
        "makeReducedDims,ClusterExperiment-method",
        "makeReducedDims,matrixOrHDF5-method",
        "makeReducedDims,SingleCellExperiment-method",
        "makeReducedDims,SummarizedExperiment-method",
        "reduceFunctions"
      ]
    },
    {
      "page": "ClusterFunction-class",
      "title": "Class ClusterFunction",
      "topics": [
        "ClusterFunction",
        "ClusterFunction,function-method",
        "ClusterFunction-class",
        "internalFunctionCheck"
      ]
    },
    {
      "page": "builtInClusteringFunctions",
      "title": "Built in ClusterFunction options",
      "topics": [
        "getBuiltInFunction",
        "getBuiltInFunction,character-method",
        "listBuiltInFunctions",
        "listBuiltInType01",
        "listBuiltInTypeK"
      ]
    },
    {
      "page": "mainClustering",
      "title": "Cluster distance matrix from subsampling",
      "topics": [
        "getPostProcessingArgs",
        "getPostProcessingArgs,ClusterFunction-method",
        "mainClustering",
        "mainClustering,character-method",
        "mainClustering,ClusterFunction-method"
      ]
    },
    {
      "page": "makeConsensus",
      "title": "Find sets of samples that stay together across clusterings",
      "topics": [
        "makeConsensus",
        "makeConsensus,ClusterExperiment-method",
        "makeConsensus,matrix-method"
      ]
    },
    {
      "page": "makeDendrogram",
      "title": "Make hierarchy of set of clusters",
      "topics": [
        "makeDendrogram",
        "makeDendrogram,ClusterExperiment-method",
        "makeDendrogram,dist-method",
        "makeDendrogram,matrixOrHDF5-method"
      ]
    },
    {
      "page": "mergeClusters",
      "title": "Merge clusters based on dendrogram",
      "topics": [
        "eraseMergeInfo",
        "eraseMergeInfo,ClusterExperiment-method",
        "getMergeCorrespond",
        "getMergeCorrespond,ClusterExperiment-method",
        "mergeClusterIndex",
        "mergeClusterIndex,ClusterExperiment-method",
        "mergeClusters",
        "mergeClusters,ClusterExperiment-method",
        "mergeClusters,matrixOrHDF5-method",
        "mergeCutoff",
        "mergeCutoff,ClusterExperiment-method",
        "mergeMethod",
        "mergeMethod,ClusterExperiment-method",
        "nodeMergeInfo",
        "nodeMergeInfo,ClusterExperiment-method"
      ]
    },
    {
      "page": "numericalAsCharacter",
      "title": "Convert numeric values to character that sort correctly",
      "topics": [
        "numericalAsCharacter"
      ]
    },
    {
      "page": "plotBarplot",
      "title": "Barplot of 1 or 2 clusterings",
      "topics": [
        "plotBarplot",
        "plotBarplot,ClusterExperiment-method",
        "plotBarplot,matrix-method",
        "plotBarplot,vector-method"
      ]
    },
    {
      "page": "plotClusters",
      "title": "Visualize cluster assignments across multiple clusterings",
      "topics": [
        "plotClusters",
        "plotClusters,ClusterExperiment-method",
        "plotClusters,matrix-method"
      ]
    },
    {
      "page": "plotClustersTable",
      "title": "Plot heatmap of cross-tabs of 2 clusterings",
      "topics": [
        "bubblePlot,table,table-method",
        "plotClustersTable",
        "plotClustersTable,ClusterExperiment-method",
        "plotClustersTable,table-method",
        "tableClusters",
        "tableClusters,ClusterExperiment-method"
      ]
    },
    {
      "page": "plotClustersWorkflow",
      "title": "A plot of clusterings specific for clusterMany and workflow visualization",
      "topics": [
        "plotClustersWorkflow",
        "plotClustersWorkflow,ClusterExperiment-method"
      ]
    },
    {
      "page": "plotContrastHeatmap",
      "title": "Plot heatmaps showing significant genes per contrast",
      "topics": [
        "plotContrastHeatmap",
        "plotContrastHeatmap,ClusterExperiment-method"
      ]
    },
    {
      "page": "plotDendrogram",
      "title": "Plot dendrogram of ClusterExperiment object",
      "topics": [
        "plotDendrogram",
        "plotDendrogram,ClusterExperiment-method"
      ]
    },
    {
      "page": "plotFeatureBoxplot",
      "title": "Plot boxplot of feature values by cluster",
      "topics": [
        "plotFeatureBoxplot",
        "plotFeatureBoxplot,ClusterExperiment,character-method",
        "plotFeatureBoxplot,ClusterExperiment,numeric-method"
      ]
    },
    {
      "page": "plotFeatureScatter",
      "title": "Plot scatter plot of feature values colored by cluster",
      "topics": [
        "plotFeatureScatter",
        "plotFeatureScatter,ClusterExperiment,character-method",
        "plotFeatureScatter,ClusterExperiment,numeric-method"
      ]
    },
    {
      "page": "plotHeatmap",
      "title": "Heatmap for showing clustering results and more",
      "topics": [
        "plotCoClustering",
        "plotCoClustering,ClusterExperiment-method",
        "plotHeatmap",
        "plotHeatmap,ClusterExperiment-method",
        "plotHeatmap,data.frame-method",
        "plotHeatmap,ExpressionSet-method",
        "plotHeatmap,matrixOrHDF5-method",
        "plotHeatmap,SingleCellExperiment-method",
        "plotHeatmap,SummarizedExperiment-method",
        "plotHeatmap,table-method"
      ]
    },
    {
      "page": "plotReducedDims",
      "title": "Plot 2-dimensionsal representation with clusters",
      "topics": [
        "plotReducedDims",
        "plotReducedDims,ClusterExperiment-method"
      ]
    },
    {
      "page": "plottingFunctions",
      "title": "Convert clusterLegend into useful formats",
      "topics": [
        "bigPalette",
        "convertClusterLegend",
        "convertClusterLegend,ClusterExperiment-method",
        "makeBlankData",
        "massivePalette",
        "plotClusterLegend",
        "plotClusterLegend,ClusterExperiment-method",
        "plottingFunctions",
        "seqPal1",
        "seqPal2",
        "seqPal3",
        "seqPal4",
        "seqPal5",
        "setBreaks",
        "showHeatmapPalettes",
        "showPalette"
      ]
    },
    {
      "page": "renameClusters",
      "title": "Change assigned names or colors of clusters",
      "topics": [
        "recolorClusters",
        "recolorClusters,ClusterExperiment,character-method",
        "renameClusters",
        "renameClusters,ClusterExperiment,character-method"
      ]
    },
    {
      "page": "RSEC",
      "title": "Resampling-based Sequential Ensemble Clustering",
      "topics": [
        "RSEC",
        "RSEC,ClusterExperiment-method",
        "RSEC,data.frame-method",
        "RSEC,matrix-method",
        "RSEC,matrixOrHDF5-method",
        "RSEC,SingleCellExperiment-method",
        "RSEC,SummarizedExperiment-method",
        "RSEC-methods"
      ]
    },
    {
      "page": "rsecFluidigm",
      "title": "Documentation of rsecFluidigm object",
      "topics": [
        "makeRsecFluidigmObject",
        "rsecFluidigm"
      ]
    },
    {
      "page": "search_pairs",
      "title": "Search pairs of samples that co-cluster across subsamples",
      "topics": [
        "search_pairs"
      ]
    },
    {
      "page": "seqCluster",
      "title": "Program for sequentially clustering, removing cluster, and starting again.",
      "topics": [
        "seqCluster"
      ]
    },
    {
      "page": "simData",
      "title": "Simulated data for running examples",
      "topics": [
        "simCount",
        "simData",
        "trueCluster"
      ]
    },
    {
      "page": "subsampleClustering",
      "title": "Cluster subsamples of the data",
      "topics": [
        "subsampleClustering",
        "subsampleClustering,character-method",
        "subsampleClustering,ClusterFunction-method"
      ]
    },
    {
      "page": "subset",
      "title": "Functions to subset ClusterExperiment Objects",
      "topics": [
        "removeClusterings,ClusterExperiment-method",
        "removeClusters",
        "removeClusters,ClusterExperiment-method",
        "subset",
        "subsetByCluster",
        "subsetByCluster,ClusterExperiment-method",
        "[,ClusterExperiment,ANY,ANY,ANY-method",
        "[,ClusterExperiment,ANY,character,ANY-method",
        "[,ClusterExperiment,ANY,logical,ANY-method",
        "[,ClusterExperiment,ANY,numeric,ANY-method"
      ]
    },
    {
      "page": "transformData",
      "title": "Transform the original data in a ClusterExperiment object",
      "topics": [
        "transformData",
        "transformData,ClusterExperiment-method",
        "transformData,matrixOrHDF5-method",
        "transformData,SingleCellExperiment-method",
        "transformData,SummarizedExperiment-method"
      ]
    },
    {
      "page": "updateObject",
      "title": "Update old ClusterExperiment object to current class definition",
      "topics": [
        "updateObject",
        "updateObject,ClusterExperiment-method"
      ]
    },
    {
      "page": "workflowClusters",
      "title": "Methods for workflow clusters",
      "topics": [
        "setToCurrent",
        "setToCurrent,ClusterExperiment-method",
        "setToFinal",
        "setToFinal,ClusterExperiment-method",
        "workflowClusterDetails",
        "workflowClusterDetails,ClusterExperiment-method",
        "workflowClusters",
        "workflowClusters,ClusterExperiment-method",
        "workflowClusterTable",
        "workflowClusterTable,ClusterExperiment-method"
      ]
    }
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  "_readme": "https://github.com/bioc/clusterExperiment/raw/HEAD/README.md",
  "_rundeps": [
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  "_sysdeps": [
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      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
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  ],
  "_vignettes": [
    {
      "source": "clusterExperimentTutorial.Rmd",
      "filename": "clusterExperimentTutorial.html",
      "title": "clusterExperiment Vignette",
      "author": "Elizabeth Purdom and Davide Risso",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The RSEC clustering workflow",
        "Quickstart",
        "The Data",
        "Filtering and normalization",
        "Clustering with RSEC",
        "The output",
        "Visualizing the output",
        "Visualizing many clusterings",
        "Barplots & contingency tables",
        "Co-Clustering",
        "Plot of Hierarchy of Clusters",
        "2D plot of clusters",
        "Rerunning RSEC with different parameters",
        "Finding Features related to the clusters",
        "Heatmaps of features",
        "Overview of the clustering workflow",
        "Step 1: Clustering with clusterMany",
        "Step 2: Find a consensus with makeConsensus",
        "Step 3: Merge clusters together with makeDendrogram and mergeClusters",
        "RSEC",
        "ClusterExperiment Objects",
        "Subsetting ClusterExperiment objects",
        "Samples not assigned to a cluster (Negative Valued Cluster Assignments)",
        "Dimensionality reduction and SingleCellExperiment Class",
        "Visualizing the data",
        "Cluster Alignment plot with plotClusters",
        "Manipulations of colors",
        "Saving Assignment of colors from plotClusters",
        "Manual Assignment of colors",
        "Using only the assigned colors",
        "Choosing a different set of colors",
        "Variant version: plotClustersWorkflow",
        "Heatmap including the clusters with plotHeatmap",
        "Displaying clustering or sample information",
        "Additional options for clustering/ordering samples",
        "Using separate input data for clustering and for visualization",
        "Setting the breaks",
        "Dendrogram of clusters with plotDendrogram",
        "Changing the leaf and plot type",
        "Changing the information plotted with dendrogram",
        "Additional clusters",
        "Merge Information",
        "Sample data",
        "Node information",
        "The clustering workflow",
        "clusterMany",
        "Base clustering algorithms and the  ClusterFunction class",
        "inputType",
        "algorithmType",
        "requiredArgs",
        "Internal clustering procedures",
        "Main Clustering (Step 2): mainClustering",
        "Subsampling (step 1) subsampleClustering",
        "Sequential Detection of Clusters (Step 3): seqCluster",
        "Arguments of clusterMany",
        "Example changing the distance function",
        "Example using a user-defined clustering algorithm",
        "Dealing with large numbers of clusterings",
        "Create a unified cluster from many clusters with makeConsensus",
        "Consensus from subsets of clusterings",
        "Creating a Hierarchy of Clusters with makeDendrogram",
        "Making a past run the current one.",
        "More about how the dendrogram is saved",
        "Merging clusters with mergeClusters",
        "Requiring a certain log-fold change",
        "Keeping track of and rerunning elements of the workflow",
        "Designate a Final Clustering",
        "RSEC",
        "Finding Features related to a Clustering",
        "Types of Significance Tests (Contrasts)",
        "All Pairwise",
        "One Against All",
        "Dendrogram",
        "DE Analysis for count and other RNASeq data",
        "Piping into other DE routines",
        "Multiple Testing adjustments",
        "Working with other assays()",
        "Session Information",
        "References"
      ],
      "created": "2016-04-25 05:30:12",
      "modified": "2024-04-25 18:39:43",
      "commits": 94
    },
    {
      "source": "largeDataSets.Rmd",
      "filename": "largeDataSets.html",
      "title": "Working with Large Datasets",
      "author": "Elizabeth Purdom and Davide Risso",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Avoid NxN matrices",
        "Choice of Clustering Routine",
        "Subsampling and Consensus clustering",
        "Technical details",
        "Data in Memory versus HDF5"
      ],
      "created": "2019-10-10 16:39:13",
      "modified": "2019-10-10 18:14:53",
      "commits": 2
    }
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  "_indexed": true,
  "_nocasepkg": "clusterexperiment",
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