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  "Title": "Flexible Procedures for Clustering",
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  "Authors@R": "person(given = \"Christian\",\nfamily = \"Hennig\",\nrole = c(\"aut\", \"cre\"),\nemail = \"christian.hennig@unibo.it\")",
  "Description": "Various methods for clustering and cluster validation.\nFixed point clustering. Linear regression clustering.\nClustering by merging Gaussian mixture components. Symmetric\nand asymmetric discriminant projections for visualisation of\nthe separation of groupings. Cluster validation statistics for\ndistance based clustering including corrected Rand index.\nStandardisation of cluster validation statistics by random\nclusterings and comparison between many clustering methods and\nnumbers of clusters based on this. Cluster-wise cluster\nstability assessment. Methods for estimation of the number of\nclusters: Calinski-Harabasz, Tibshirani and Walther's\nprediction strength, Fang and Wang's bootstrap stability.\nGaussian/multinomial mixture fitting for mixed\ncontinuous/categorical variables. Variable-wise statistics for\ncluster interpretation. DBSCAN clustering. Interface functions\nfor many clustering methods implemented in R, including\nestimating the number of clusters with kmeans, pam and clara.\nModality diagnosis for Gaussian mixtures. For an overview see\npackage?fpc.",
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