Balík: r-cran-fpc (2.2-9-1)

[ Zdroj: 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.

Ostatné balíky súvisiace s balíkom r-cran-fpc

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-base-core (>= 4.0.3-1)

  jadro GNU R na štatistické výpočty a grafický systém

• dep: r-cran-class

  balík GNU R na klasifikáciu

• dep: r-cran-cluster

  balík GNU R na klastrovú analýzu, ktorý napísali 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

  balík MASS pre GNU R od Venable a 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

  balík GNU R na výpočet viacrozmerných normálnych a T rozdelení

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