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Much extended the original\nfrom Peter Rousseeuw, Anja Struyf and Mia Hubert, based on\nKaufman and Rousseeuw (1990) \"Finding Groups in Data\".", "Maintainer": "Martin Maechler ", "Authors@R": "c(person(\"Martin\",\"Maechler\", role = c(\"aut\",\"cre\"),\nemail=\"maechler@stat.math.ethz.ch\", comment = c(ORCID = \"0000-0002-8685-9910\"))\n,person(\"Peter\", \"Rousseeuw\", role=\"aut\", email=\"peter.rousseeuw@kuleuven.be\",\ncomment = c(\"Fortran original\", ORCID = \"0000-0002-3807-5353\"))\n,person(\"Anja\", \"Struyf\", role=\"aut\", comment= \"S original\")\n,person(\"Mia\", \"Hubert\", role=\"aut\", email= \"Mia.Hubert@uia.ua.ac.be\",\ncomment = c(\"S original\", ORCID = \"0000-0001-6398-4850\"))\n,person(\"Kurt\", \"Hornik\", role=c(\"trl\", \"ctb\"),\nemail=\"Kurt.Hornik@R-project.org\",\ncomment=c(\"port to R; maintenance(1999-2000)\", ORCID=\"0000-0003-4198-9911\"))\n,person(\"Matthias\", \"Studer\", role=\"ctb\")\n,person(\"Pierre\", \"Roudier\", 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{ "name": "flower", "title": "Flower Characteristics", "object": "flower", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8" ], "rows": 18, "table": true, "tojson": true }, { "name": "plantTraits", "title": "Plant Species Traits Data", "object": "plantTraits", "class": [ "data.frame" ], "fields": [ "pdias", "longindex", "durflow", "height", "begflow", "mycor", "vegaer", "vegsout", "autopoll", "insects", "wind", "lign", "piq", "ros", "semiros", "leafy", "suman", "winan", "monocarp", "polycarp", "seasaes", "seashiv", "seasver", "everalw", "everparti", "elaio", "endozoo", "epizoo", "aquat", "windgl", "unsp" ], "rows": 136, "table": true, "tojson": true }, { "name": "pluton", "title": "Isotopic Composition Plutonium Batches", "object": "pluton", "class": [ "data.frame" ], "fields": [ "Pu238", "Pu239", "Pu240", "Pu241" ], "rows": 45, "table": true, "tojson": true }, { "name": "ruspini", "title": "Ruspini Data", "object": "ruspini", "class": [ "data.frame" 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}, { "page": "agriculture", "title": "European Union Agricultural Workforces", "topics": [ "agriculture" ] }, { "page": "animals", "title": "Attributes of Animals", "topics": [ "animals" ] }, { "page": "bannerplot", "title": "Plot Banner (of Hierarchical Clustering)", "topics": [ "bannerplot" ] }, { "page": "chorSub", "title": "Subset of C-horizon of Kola Data", "topics": [ "chorSub" ] }, { "page": "clara", "title": "Clustering Large Applications", "topics": [ "clara" ] }, { "page": "clara.object", "title": "Clustering Large Applications (CLARA) Object", "topics": [ "clara.object" ] }, { "page": "clusGap", "title": "Gap Statistic for Estimating the Number of Clusters", "topics": [ "clusGap", "maxSE", "plot.clusGap", "print.clusGap" ] }, { "page": "clusplot.partition", "title": "Bivariate Cluster Plot (of a Partitioning Object)", "topics": [ "clusplot", "clusplot.partition" ] }, { "page": "clusplot.default", "title": "Bivariate Cluster Plot (clusplot) Default Method", "topics": [ "clusplot.default" ] }, { "page": "coef.hclust", "title": "Agglomerative / Divisive Coefficient for 'hclust' Objects", "topics": [ "coef.hclust", "coef.twins", "coefHier" ] }, { "page": "daisy", "title": "Dissimilarity Matrix Calculation", "concept": [ "Gower's formula", "Gower's distance", "Gower's coefficient" ], "topics": [ "daisy" ] }, { "page": "diana", "title": "DIvisive ANAlysis Clustering", "topics": [ "diana", "diana.object" ] }, { "page": "dissimilarity.object", "title": "Dissimilarity Matrix Object", "topics": [ "dissimilarity.object" ] }, { "page": "ellipsoidhull", "title": "Compute the Ellipsoid Hull or Spanning Ellipsoid of a Point Set", "topics": [ "ellipsoidhull", "print.ellipsoid" ] }, { "page": "fanny", "title": "Fuzzy Analysis Clustering", "topics": [ "fanny" ] }, { "page": "fanny.object", "title": "Fuzzy Analysis (FANNY) Object", "topics": [ "fanny.object" ] }, { "page": "flower", "title": "Flower Characteristics", "topics": [ "flower" ] }, { "page": "lower.to.upper.tri.inds", "title": "Permute Indices for Triangular Matrices", "topics": [ "lower.to.upper.tri.inds", "upper.to.lower.tri.inds" ] }, { "page": "medoids", "title": "Compute 'pam'-consistent Medoids from Clustering", "topics": [ "medoids" ] }, { "page": "mona", "title": "MONothetic Analysis Clustering of Binary Variables", "topics": [ "mona" ] }, { "page": "mona.object", "title": "Monothetic Analysis (MONA) Object", "topics": [ "mona.object" ] }, { "page": "pam", "title": "Partitioning Around Medoids", "topics": [ "pam" ] }, { "page": "pam.object", "title": "Partitioning Around Medoids (PAM) Object", "topics": [ "pam.object" ] }, { "page": "partition.object", "title": "Partitioning Object", "topics": [ "partition", "partition.object" ] }, { "page": "plantTraits", "title": "Plant Species Traits Data", "topics": [ "plantTraits" ] }, { "page": "plot.agnes", "title": "Plots of an Agglomerative Hierarchical Clustering", "topics": [ "plot.agnes" ] }, { "page": "plot.diana", "title": "Plots of a Divisive Hierarchical Clustering", "topics": [ "plot.diana" ] }, { "page": "plot.mona", "title": "Banner of Monothetic Divisive Hierarchical Clusterings", "topics": [ "plot.mona" ] }, { "page": "plot.partition", "title": "Plot of a Partition of the Data Set", "topics": [ "plot.partition" ] }, { "page": "pltree", "title": "Plot Clustering Tree of a Hierarchical Clustering", "topics": [ "pltree", "pltree.twins" ] }, { "page": "pluton", "title": "Isotopic Composition Plutonium Batches", "topics": [ "pluton" ] }, { "page": "predict.ellipsoid", "title": "Predict Method for Ellipsoid Objects", "topics": [ "ellipsoidPoints", "predict.ellipsoid" ] }, { "page": "print.agnes", "title": "Print Method for AGNES Objects", "topics": [ "print.agnes" ] }, { "page": "print.clara", "title": "Print Method for CLARA Objects", "topics": [ "print.clara" ] }, { "page": "print.diana", "title": "Print Method for DIANA Objects", "topics": [ "print.diana" ] }, { "page": 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