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