Package: LLAhclust
Version: 0.2-2
Date: 2007-31-08
Title: Hierarchical clustering of variables or objects based on the
        likelihood linkage analysis method
Author: Ivan Kojadinovic, Isral-Csar Lerman, Philippe Peter
Maintainer: ORPHANED
Description: The likelihood linkage analysis is a general agglomerative
        hierarchical clustering method developed in France by Lerman in
        a long series of research articles and books. Initially
        proposed in the framework of variable clustering, it has been
        progressively extended to allow the clustering of very general
        object descriptions. The approach mainly consists in replacing
        the value of the estimated similarity coefficient by the
        probability of finding a lower value under the hypothesis of
        'absence of link'. The package LLAhclust contains routines for
        computing various types of probablistic similarity coefficients
        between variables or object descriptions. Once the similarity
        values between variables/objects are computed, a hierarchical
        clustering can be performed using several probabilistic and
        non-probabilistic aggregation criteria, and indices measuring
        the quality of the partitions compatible with the resulting
        hierarchy can be computed.
Depends: R(>= 2.1.0)
Encoding: latin1
License: CeCILL-2
URL: http://www.stat.auckland.ac.nz/~ivan/LLAhclust
Packaged: Fri Feb 27 08:33:40 2009; hornik
X-CRAN-Comment: Orphaned on 2012-06-03 as requested by the original
        maintainer, ivan.kojadinovic@univ-pau.fr
Repository: CRAN
Date/Publication: 2009-02-27 07:40:31
