Package: fpc
Title: Flexible procedures for clustering
Version: 2.0-2
Date: 2010-08-17
Author: Christian Hennig <chrish@stats.ucl.ac.uk>
Depends: R (>= 1.9), MASS, cluster, mclust, flexmix
Suggests: trimcluster, prabclus, class, diptest, mvtnorm
Description: 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.
Clusterwise cluster stability assessment. Methods for
estimation of the number of clusters: Calinski-Harabasz,
Tibshirani and Walther's prediction strength.
Gaussian/multinomial mixture fitting for mixed
continuous/categorical variables. Veriablewise 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. Note that the use of
the package mclust (called by function prabclust) is protected
by a special license, see
http://www.stat.washington.edu/mclust/license.txt. For an
overview see ?fpc-package.
Maintainer: Christian Hennig <chrish@stats.ucl.ac.uk>
License: GPL
URL: http://www.homepages.ucl.ac.uk/~ucakche/
Packaged: 2010-08-17 19:49:13 UTC; chrish
Repository: CRAN
Date/Publication: 2010-08-18 04:55:01

Package: fpc
Title: Flexible procedures for clustering
Version: 2.0-3
Date: 2010-11-19
Author: Christian Hennig <chrish@stats.ucl.ac.uk>
Depends: R (>= 1.9), MASS, cluster, mclust, flexmix
Suggests: trimcluster, prabclus, class, diptest, mvtnorm
Description: 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.
Clusterwise cluster stability assessment. Methods for
estimation of the number of clusters: Calinski-Harabasz,
Tibshirani and Walther's prediction strength.
Gaussian/multinomial mixture fitting for mixed
continuous/categorical variables. Veriablewise 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. Note that the use of
the package mclust (called by function prabclust) is protected
by a special license, see
http://www.stat.washington.edu/mclust/license.txt. For an
overview see package?fpc.
Maintainer: Christian Hennig <chrish@stats.ucl.ac.uk>
License: GPL
URL: http://www.homepages.ucl.ac.uk/~ucakche/
Packaged: 2010-11-19 14:59:09 UTC; chrish
Repository: CRAN
Date/Publication: 2010-11-19 16:32:18