A version of the R package 'cluster' with a parallel implementation of 'clusGap'
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R use apply_func to make paralell Jan 13, 2015
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README.md

'cluster' package with some modifications

This package was imported from CRAN (version 1.15.3). I've modified the function clusGap to accept the argument do_parallel to perform the gap statistic uniform sampling in parallel using the parallel package.

Harold Pimentel haroldpimentel@gmail.com, January 12, 2015


ORIGINAL README :

This directory contains code, help and examples for CLUS, an S-PLUS package for clustering, as described in ``Clustering in an Object-Oriented Environment'' by Anja Struyf, Mia Hubert, and Peter J. Rousseeuw (Journal of Statistical Software, volume 1).


See http://www.stat.ucla.edu/journals/jss/ for the original version.

The current port is based on material now on http://www.agoras.ua.ac.be/

KH Kurt.Hornik@ci.tuwien.ac.at 1998/05/21


For historical reasons, we keep R/README-Splus which has no relevance to the R package.


TODO {see ./DONE-MM for things done}

  1. daisy() for the case of mixed variables should allow a weight vector (of length p = #vars) for up- or downweighing variables. daisy() really should accept the other methods mva's dist() does and it should use dist's C API -- but we have no C API for package code, ARRGH!

  2. Eliminate the many Fortran (g77 -Wall) warnings of the form

    mona.f:101: warning: `jma' might be used uninitialized in this function

  3. Mona objects describe a hierarchical clustering; they could also inherit from twins, and hence have a pltree() method for plotting the hierarchical tree.

8b) Think about "merging" the plot.agnes and plot.diana methods.


Martin maechler@stat.math.ethz.ch, since 1999