Package: fpc
Title: Fixed point clusters, clusterwise regression and discriminant plots
Version: 1.0
Date: 2002-07-12
Author: Christian Hennig <hennig@math.uni-hamburg.de>
Depends: R (>= 1.5), lqs
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. Discriminant projections separate
  groups optimally, used to visualize the separation of
  groupings. Corresponding plot methods. Clusterwise linear 
  regression by normal mixture modeling.
Maintainer: Christian Hennig <hennig@math.uni-hamburg.de>
License: GPL
URL: http://www.math.uni-hamburg.de/home/hennig/