Package: fpc
Title: Fixed point clusters, clusterwise regression and discriminant
        plots
Version: 1.1-3
Date: 2005-09-23
Author: Christian Hennig <chrish@stats.ucl.ac.uk>
Depends: R (>= 1.5), MASS, cluster
Description: Fuzzy and crisp fixed point cluster analysis based on
        Mahalanobis distance and linear regression fixed point
        clusters. Semi-explorative, semi-model-based clustering
        methods, operating on n*p data, do not need prespecification of
        number of clusters, produce overlapping clusters. Symmetric and
        asymmetric discriminant projections separate groups optimally,
        used to visualize the separation of groupings. Corresponding
        plot methods. Clusterwise linear regression by normal mixture
        modeling. Cluster validation statistics for distance based
        clustering. Note: If you use an R-version older than 1.9.0, you
        will need packages lqs and mva installed.
Maintainer: Christian Hennig <chrish@stats.ucl.ac.uk>
License: GPL
URL: http://www.www.homepages.ucl.ac.uk/~ucakche/
Packaged: Fri Sep 23 21:03:30 2005; chrish
Built: R 2.2.0; ; 2005-10-14 14:05:06; windows
