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  "Date": "2026-03-05",
  "Title": "Clustering Algorithms for Bioconductor",
  "Description": "Wraps common clustering algorithms in an easily extended\nS4 framework. Backends are implemented for hierarchical,\nk-means and graph-based clustering. Several utilities are also\nprovided to compare and evaluate clustering results.",
  "Authors@R": "c(\nperson(\"Aaron\", \"Lun\", role = c(\"aut\", \"cre\"), email = \"infinite.monkeys.with.keyboards@gmail.com\"),\nperson(\"Stephanie\", \"Hicks\", role=\"ctb\"),\nperson(\"Basil\", \"Courbayre\", role=\"ctb\"),\nperson(\"Tuomas\", \"Borman\", role=\"ctb\"),\nperson(\"Leo\", \"Lahti\", role=\"ctb\")\n)",
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  "Collate": "AllClasses.R AllGenerics.R AgnesParam.R approxSilhouette.R\nbluster-package.R DbscanParam.R DianaParam.R AffinityParam.R\nBlusterParam.R bootstrapStability.R ClaraParam.R clusterRMSD.R\nclusterSweep.R compareClusterings.R DmmParam.R\nFixedNumberParam.R HclustParam.R HierarchicalParam.R\nKmeansParam.R linkClusters.R makeSNNGraph.R MbkmeansParam.R\nmergeCommunities.R neighborPurity.R nestedClusters.R\nNNGraphParam.R pairwiseModularity.R pairwiseRand.R PamParam.R\nRcppExports.R SomParam.R TwoStepParam.R utils.R",
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  "Date/Publication": "2026-04-28 12:53:10 UTC",
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    "SNNGraphParam",
    "SomParam",
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    "updateObject"
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      "title": "Define the default arguments",
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        ".defaultScalarArguments,BlusterParam-method",
        ".extractScalarArguments",
        ".showScalarArguments"
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    {
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      "title": "Affinity propogation",
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        "show,AffinityParam-method"
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        "show,BlusterParam-method",
        "[[,BlusterParam-method",
        "[[<-,BlusterParam-method"
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      "topics": [
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        "ClaraParam-class",
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        "show,ClaraParam-method"
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    {
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      "title": "Compute the RMSD per cluster",
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      ]
    },
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        "clusterRows"
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        "DmmParam",
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      "title": "The FixedNumberParam class",
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        "centers,FixedNumberParam-method",
        "centers<-",
        "centers<-,FixedNumberParam-method",
        "FixedNumberParam-class",
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      "topics": [
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        "Based on distance matrices",
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        "Graph-based clustering",
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