Package: fpc
Title: Fixed point clusters, clusterwise regression and discriminant
        plots
Version: 1.1-2
Date: 2004-04-23
Author: Christian Hennig <hennig@math.uni-hamburg.de>
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 <hennig@math.uni-hamburg.de>
License: GPL
URL: http://www.math.uni-hamburg.de/home/hennig/
Built: R 1.9.1; ; 2004-10-07 00:26:10; unix
