Paket: r-cran-fpc (2.2-13-1)

[ Quellcode: r-cran-fpc  ]

GNU R flexible procedures for clustering

Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures.

Andere Pakete mit Bezug zu r-cran-fpc

• dep: r-api-4.0

  virtuelles Paket, bereitgestellt durch r-base-core

• dep: r-cran-class

  GNU-R-Paket zur Klassifizierung

• dep: r-cran-cluster

  GNU-R-Paket zur Cluster-Analyse von Rousseeuw et al

• dep: r-cran-diptest

  Hartigan's Dip Test Statistic for Unimodality - Corrected

• dep: r-cran-flexmix

  GNU R flexible mixture modeling

• dep: r-cran-kernlab

  GNU R: kernel-basiertes Lab für maschinelles Lernen

• dep: r-cran-mass

  GNU-R-Paket für MASS von Venables und Ripley

• dep: r-cran-mclust

  Gaussian Mixture Modelling for Model-Based Clustering

• dep: r-cran-prabclus

  GNU R clustering of presence-absence, abundance and multilocus genetic data

• dep: r-cran-robustbase

  GNU R package providing basic robust statistics

• rec: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

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