{
  "_id": "6a1053b8acfb0bcc41ca1deb",
  "Package": "flexclust",
  "Version": "1.5.0",
  "Date": "2025-02-27",
  "Encoding": "UTF-8",
  "Authors@R": "c(person(\"Friedrich\", \"Leisch\", role=\"aut\",\ncomment = c(ORCID = \"0000-0001-7278-1983\",\n\"maintainer up to 2024\")),\nperson(\"Evgenia\", \"Dimitriadou\", role=\"ctb\"),\nperson(\"Lena\", \"Ortega Menjivar\", role=\"ctb\",\ncomment = c(ORCID = \"0000-0001-5785-4021\")),\nperson(\"Dominik\", \"Ernst\", role=\"ctb\",\ncomment = c(ORCID = \"0009-0005-5579-2636\")),\nperson(\"Bettina\", \"Grün\", role=c(\"ctb\", \"cre\"),\nemail = \"Bettina.Gruen@R-project.org\",\ncomment = c(ORCID = \"0000-0001-7265-4773\")))",
  "Title": "Flexible Cluster Algorithms",
  "Description": "The main function kcca implements a general framework for\nk-centroids cluster analysis supporting arbitrary distance\nmeasures and centroid computation. Further cluster methods\ninclude hard competitive learning, neural gas, and QT\nclustering. There are numerous visualization methods for\ncluster results (neighborhood graphs, convex cluster hulls,\nbarcharts of centroids, ...), and bootstrap methods for the\nanalysis of cluster stability.",
  "License": "GPL-2",
  "LazyLoad": "yes",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-09 08:48:33 UTC",
    "User": "root"
  },
  "Author": "Friedrich Leisch [aut]\n(<https://orcid.org/0000-0001-7278-1983>, maintainer up to\n2024), Evgenia Dimitriadou [ctb], Lena Ortega Menjivar [ctb]\n(<https://orcid.org/0000-0001-5785-4021>), Dominik Ernst [ctb]\n(<https://orcid.org/0009-0005-5579-2636>), Bettina Grün [ctb,\ncre] (<https://orcid.org/0000-0001-7265-4773>)",
  "Maintainer": "Bettina Grün <Bettina.Gruen@R-project.org>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-02-28 06:40:02 UTC",
  "RemoteUrl": "https://github.com/cran/flexclust",
  "RemoteRef": "HEAD",
  "RemoteSha": "05bd8bd5379352d8d3dbe930a0523527eab46b83",
  "MD5sum": "ea72478972448b5d1c1a87f51d1fdf8b",
  "_user": "cran",
  "_type": "src",
  "_file": "flexclust_1.5.0.tar.gz",
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  "_created": "2026-05-09T08:48:33.000Z",
  "_published": "2026-05-22T13:01:44.591Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/25596859487",
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  "_upstream": "https://github.com/cran/flexclust",
  "_commit": {
    "id": "05bd8bd5379352d8d3dbe930a0523527eab46b83",
    "author": "Bettina Grün <Bettina.Gruen@R-project.org>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.5.0\n",
    "time": 1740724802
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  "_maintainer": {
    "name": "Bettina Grün",
    "email": "bettina.gruen@r-project.org",
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  "_dependencies": [
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      "package": "graphics",
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      "package": "grid",
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      "package": "lattice",
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      "package": "class",
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    },
    {
      "package": "ellipse",
      "role": "Suggests"
    },
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      "package": "clue",
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    {
      "package": "cluster",
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    },
    {
      "package": "seriation",
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    {
      "package": "skmeans",
      "role": "Suggests"
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 42,
  "_updates": [],
  "_tags": [],
  "_stars": 3,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/flexclust"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/flexclust.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "date": "2005-06-09"
    },
    {
      "version": "0.8-0",
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      "version": "1.3-4",
      "date": "2013-07-02"
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      "version": "1.3-5",
      "date": "2018-02-14"
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    {
      "version": "1.4-0",
      "date": "2018-09-24"
    },
    {
      "version": "1.4-1",
      "date": "2022-04-08"
    },
    {
      "version": "1.4-2",
      "date": "2024-04-27"
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      "version": "1.5.0",
      "date": "2025-02-28"
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  ],
  "_exports": [
    "as.kcca",
    "barchart",
    "barplot",
    "bclust",
    "bootFlexclust",
    "boxplot",
    "bundestag",
    "bwplot",
    "cclust",
    "centAngle",
    "centMean",
    "centMedian",
    "centOptim",
    "centOptim01",
    "clusters",
    "clusterSim",
    "coerce",
    "comPart",
    "Cutree",
    "densityplot",
    "dist2",
    "distAngle",
    "distCanberra",
    "distCor",
    "distEuclidean",
    "distJaccard",
    "distManhattan",
    "distMax",
    "distMinkowski",
    "flxColors",
    "flxPalette",
    "getModel",
    "groupBWplot",
    "histogram",
    "image",
    "info",
    "kcca",
    "kcca2df",
    "kccaFamily",
    "pairs",
    "panelShadowBP",
    "panelShadowSkeleton",
    "panelShadowStripes",
    "panelShadowViolin",
    "parameters",
    "placeLabels",
    "plot",
    "predict",
    "priceFeature",
    "projAxes",
    "propBarchart",
    "qtclust",
    "randIndex",
    "randomTour",
    "randomTourMatrix",
    "relabel",
    "shadow",
    "shadowStars",
    "show",
    "Silhouette",
    "slsaplot",
    "slswFlexclust",
    "stepcclust",
    "stepFlexclust",
    "stripes",
    "summary"
  ],
  "_datasets": [
    {
      "name": "achieve",
      "title": "Achievement Test Scores for New Haven Schools",
      "object": "achieve",
      "file": "achieve.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "read4",
        "arith4",
        "read6",
        "arith6"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "auto",
      "title": "Automobile Customer Survey Data",
      "object": "auto",
      "file": "auto.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "model",
        "gear",
        "leasing",
        "usage",
        "previous_model",
        "other_consider",
        "test_drive",
        "info_adv",
        "info_exp",
        "info_rec",
        "ch_clarity",
        "ch_economy",
        "ch_driving_properties",
        "ch_service",
        "ch_interior",
        "ch_quality",
        "ch_technology",
        "ch_model_continuity",
        "ch_comfort",
        "ch_reliability",
        "ch_handling",
        "ch_reputation",
        "ch_concept",
        "ch_character",
        "ch_power",
        "ch_resale_value",
        "ch_styling",
        "ch_safety",
        "ch_sporty",
        "ch_consumption",
        "ch_space",
        "satisfaction",
        "good1",
        "good2",
        "good3",
        "good4",
        "good5",
        "good6",
        "good7",
        "sporty",
        "drive_char",
        "tempo",
        "consumption",
        "gender",
        "occupation",
        "household"
      ],
      "rows": 793,
      "table": true,
      "tojson": true
    },
    {
      "name": "birth",
      "title": "Birth and Death Rates",
      "object": "birth",
      "file": "birth.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "birth",
        "death"
      ],
      "rows": 69,
      "table": true,
      "tojson": true
    },
    {
      "name": "btw2002",
      "title": "German Parliament Election Data",
      "object": "btw2002",
      "file": "btw2002.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "state",
        "eligible",
        "votes",
        "invalid1",
        "invalid2",
        "valid1",
        "valid2",
        "SPD1",
        "SPD2",
        "UNION1",
        "UNION2",
        "GRUENE1",
        "GRUENE2",
        "FDP1",
        "FDP2",
        "LINKE1",
        "LINKE2"
      ],
      "rows": 299,
      "table": true,
      "tojson": true
    },
    {
      "name": "btw2005",
      "title": "German Parliament Election Data",
      "object": "btw2005",
      "file": "btw2005.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "state",
        "eligible",
        "votes",
        "invalid1",
        "invalid2",
        "valid1",
        "valid2",
        "SPD1",
        "SPD2",
        "UNION1",
        "UNION2",
        "GRUENE1",
        "GRUENE2",
        "FDP1",
        "FDP2",
        "LINKE1",
        "LINKE2"
      ],
      "rows": 299,
      "table": true,
      "tojson": true
    },
    {
      "name": "btw2009",
      "title": "German Parliament Election Data",
      "object": "btw2009",
      "file": "btw2009.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "state",
        "eligible",
        "votes",
        "invalid1",
        "invalid2",
        "valid1",
        "valid2",
        "SPD1",
        "SPD2",
        "UNION1",
        "UNION2",
        "GRUENE1",
        "GRUENE2",
        "FDP1",
        "FDP2",
        "LINKE1",
        "LINKE2"
      ],
      "rows": 299,
      "table": true,
      "tojson": true
    },
    {
      "name": "dentitio",
      "title": "Dentition of Mammals",
      "object": "dentitio",
      "file": "dentitio.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "top.inc",
        "bot.inc",
        "top.can",
        "bot.can",
        "top.pre",
        "bot.pre",
        "top.mol",
        "bot.mol"
      ],
      "rows": 66,
      "table": true,
      "tojson": true
    },
    {
      "name": "milk",
      "title": "Milk of Mammals",
      "object": "milk",
      "file": "milk.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "water",
        "protein",
        "fat",
        "lactose",
        "ash"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "Nclus",
      "title": "Artificial Example with 4 Gaussians",
      "object": "Nclus",
      "file": "Nclus.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 550,
      "table": true,
      "tojson": true
    },
    {
      "name": "nutrient",
      "title": "Nutrients in Meat, Fish and Fowl",
      "object": "nutrient",
      "file": "nutrient.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "energy",
        "protein",
        "fat",
        "calcium",
        "iron"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    },
    {
      "name": "vacmot",
      "title": "Vacation Motives of Australians",
      "object": "vacmot",
      "file": "vacmot.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "rest and relax",
        "luxury / be spoilt",
        "do sports",
        "excitement, a challenge",
        "not exceed planned budget",
        "realise creativity",
        "fun and entertainment",
        "good company",
        "health and beauty",
        "free-and-easy-going",
        "entertainment facilities",
        "not care about prices",
        "life style of the local people",
        "intense experience of nature",
        "cosiness/familiar atmosphere",
        "maintain unspoilt surroundings",
        "everything organised",
        "unspoilt nature/natural landscape",
        "cultural offers",
        "change of surroundings"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "vacmot6",
      "title": "Vacation Motives of Australians",
      "object": "vacmot",
      "file": "vacmot.RData",
      "class": [
        "integer"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "vacmotdesc",
      "title": "Vacation Motives of Australians",
      "object": "vacmot",
      "file": "vacmot.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Gender",
        "Age",
        "Education",
        "Income",
        "Income2",
        "Occupation",
        "State",
        "Relationship.Status",
        "Obligation",
        "Obligation2",
        "NEP",
        "Vacation.Behaviour"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "volunteers",
      "title": "Motivation of Australian Volunteers",
      "object": "volunteers",
      "file": "volunteers.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "GENDER",
        "AGEG",
        "meet.people",
        "no.one.else",
        "example",
        "socialise",
        "help.others",
        "give.back",
        "career",
        "lonely",
        "active",
        "community",
        "cause",
        "faith",
        "services",
        "children",
        "good.job",
        "benefited",
        "network",
        "recognition",
        "mind.off"
      ],
      "rows": 1415,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "achieve",
      "title": "Achievement Test Scores for New Haven Schools",
      "topics": [
        "achieve"
      ]
    },
    {
      "page": "auto",
      "title": "Automobile Customer Survey Data",
      "topics": [
        "auto"
      ]
    },
    {
      "page": "barplot-methods",
      "title": "Barplot/chart Methods in Package `flexclust'",
      "topics": [
        "barchart,bclust-method",
        "barchart,hclust-method",
        "barchart,kcca-method",
        "barchart,kccasimple-method",
        "barplot,kcca-method",
        "barplot,kccasimple-method"
      ]
    },
    {
      "page": "bclust",
      "title": "Bagged Clustering",
      "topics": [
        "bclust",
        "clusters,bclust,missing-method",
        "parameters,bclust-method",
        "plot,bclust,missing-method"
      ]
    },
    {
      "page": "birth",
      "title": "Birth and Death Rates",
      "topics": [
        "birth"
      ]
    },
    {
      "page": "bootFlexclust",
      "title": "Bootstrap Flexclust Algorithms",
      "topics": [
        "bootFlexclust",
        "bootFlexclust-class",
        "boxplot,bootFlexclust-method",
        "densityplot,bootFlexclust-method",
        "plot,bootFlexclust,missing-method",
        "show,bootFlexclust-method",
        "summary,bootFlexclust-method"
      ]
    },
    {
      "page": "bundestag",
      "title": "German Parliament Election Data",
      "topics": [
        "btw2002",
        "btw2005",
        "btw2009",
        "bundestag"
      ]
    },
    {
      "page": "bwplot-methods",
      "title": "Box-Whisker Plot Methods in Package `flexclust'",
      "topics": [
        "bwplot,bclust-method",
        "bwplot,kcca-method",
        "bwplot,kccasimple-method"
      ]
    },
    {
      "page": "cclust",
      "title": "Convex Clustering",
      "topics": [
        "cclust"
      ]
    },
    {
      "page": "clusterSim",
      "title": "Cluster Similarity Matrix",
      "topics": [
        "clusterSim",
        "clusterSim,kcca-method",
        "clusterSim,kccasimple-method"
      ]
    },
    {
      "page": "conversion",
      "title": "Conversion Between S3 Partition Objects and KCCA",
      "topics": [
        "as.kcca",
        "as.kcca.hclust",
        "as.kcca.kmeans",
        "as.kcca.partition",
        "as.kcca.skmeans",
        "coerce,kccasimple,kmeans-method",
        "Cutree"
      ]
    },
    {
      "page": "dentitio",
      "title": "Dentition of Mammals",
      "topics": [
        "dentitio"
      ]
    },
    {
      "page": "dist2",
      "title": "Compute Pairwise Distances Between Two Data sets",
      "topics": [
        "dist2"
      ]
    },
    {
      "page": "distances",
      "title": "Distance and Centroid Computation",
      "topics": [
        "centAngle",
        "centMean",
        "centMedian",
        "centOptim",
        "centOptim01",
        "distances",
        "distAngle",
        "distCanberra",
        "distCor",
        "distEuclidean",
        "distJaccard",
        "distManhattan",
        "distMax",
        "distMinkowski"
      ]
    },
    {
      "page": "flexclustControl-class",
      "title": "Classes \"flexclustControl\" and \"cclustControl\"",
      "topics": [
        "cclustControl",
        "cclustControl-class",
        "coerce,list,cclustControl-method",
        "coerce,list,flexclustControl-method",
        "coerce,NULL,cclustControl-method",
        "coerce,NULL,flexclustControl-method",
        "flexclustControl",
        "flexclustControl-class"
      ]
    },
    {
      "page": "flxColors",
      "title": "Flexclust Color Palettes",
      "topics": [
        "flxColors",
        "flxPalette"
      ]
    },
    {
      "page": "histogram-methods",
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