Pakiet: r-cran-fpc (2.2-10-1)

[ Pakiet źródłowy: 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.

Inne pakiety związane z r-cran-fpc

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-base-core (>= 4.2.2.20221110-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-class

  Pakiet GNU R do klasyfikacji

• dep: r-cran-cluster

  GNU R package for cluster analysis by 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 package for kernel-based machine learning lab

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• 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

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• rec: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

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