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  "Maintainer": "Katherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>",
  "Description": "The HOPACH clustering algorithm builds a hierarchical tree\nof clusters by recursively partitioning a data set, while\nordering and possibly collapsing clusters at each level. The\nalgorithm uses the Mean/Median Split Silhouette (MSS) criteria\nto identify the level of the tree with maximally homogeneous\nclusters. It also runs the tree down to produce a final ordered\nlist of the elements. The non-parametric bootstrap allows one\nto estimate the probability that each element belongs to each\ncluster (fuzzy clustering).",
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  "URL": "http://www.stat.berkeley.edu/~laan/, http://docpollard.org/",
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    "msscollap",
    "msscomplete",
    "mssinitlevel",
    "mssmulticollap",
    "mssnextlevel",
    "mssrundown",
    "msssplitcluster",
    "newnextlevel",
    "newsplitcluster",
    "nonzeros",
    "orderelements",
    "paircoll",
    "prune",
    "show",
    "silcheck",
    "vdissabscor",
    "vdissabscosangle",
    "vdissabseuclid",
    "vdisscor",
    "vdisscosangle",
    "vdisseuclid",
    "vectmatrix"
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      "title": "function to write MapleTree files for viewing bootstrap estimated cluster membership probabilities based on hopach clustering results",
      "topics": [
        "boot2fuzzy"
      ]
    },
    {
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      "title": "functions to perform non-parametric bootstrap resampling of hopach clustering results",
      "topics": [
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        "bootmedoids"
      ]
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      "title": "function to make a barplot of bootstrap estimated cluster membership probabilities",
      "topics": [
        "bootplot"
      ]
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        "improveordering"
      ]
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        "dissvector",
        "distancematrix",
        "distancevector",
        "vectmatrix"
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      "title": "Gene expression dataset from Golub et al. (1999)",
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        "as.matrix,hdist-method",
        "as.vector,hdist,missing-method",
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      "title": "function to write MapleTree files for viewing hopach hierarchical clustering results",
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      "title": "hopach",
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        "Introduction",
        "HOPACH Clustering of Genes",
        "Bootstrap Resampling",
        "HOPACH Clustering of Arrays",
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      "commit": "6f6ebe8ff32262a5bc92d689a0dc173d1363db85",
      "fileid": "https://r2.ropensci.org/bcc8ad65c0676ad930e2478bf1703b1e96adfaddd579fa8cc12e0c4ed4e124e6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/28037523252"
    }
  ]
}