fpc: 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. For an overview see package?fpc.

Version: 2.1-9
Depends: R (≥ 2.0)
Imports: MASS, cluster, mclust, flexmix, prabclus, class, diptest, mvtnorm, robustbase, kernlab, trimcluster
Published: 2014-10-02
Author: Christian Hennig
Maintainer: Christian Hennig <c.hennig at ucl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://www.homepages.ucl.ac.uk/~ucakche/
NeedsCompilation: no
In views: Cluster, Multivariate
CRAN checks: fpc results

Downloads:

Reference manual: fpc.pdf
Package source: fpc_2.1-9.tar.gz
Windows binaries: r-devel: fpc_2.1-9.zip, r-release: fpc_2.1-9.zip, r-oldrel: fpc_2.1-9.zip
OS X Snow Leopard binaries: r-release: fpc_2.1-9.tgz, r-oldrel: fpc_2.1-9.tgz
OS X Mavericks binaries: r-release: fpc_2.1-9.tgz
Old sources: fpc archive

Reverse dependencies:

Reverse depends: MSeasy
Reverse imports: semiArtificial, stream, tspmeta
Reverse suggests: rattle, trimcluster