:exclamation: This is a read-only mirror of the CRAN R package repository. cluster — "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
R 32.69%q 25.88%Shell 0.38%C 38.83%Fortran 2.22%
cluster's Introduction
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).
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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 <[email protected]> 1998/05/21
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For historical reasons,
we keep R/README-Splus which has no relevance to the R package.
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TODO {see ./TODO-MM for MM's private 'todo' list; ./DONE-MM for things done}
3) 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!
4) Eliminate the many Fortran (g77 -Wall) warnings of the form
>> mona.f:101: warning: `jma' might be used uninitialized in this function
6) 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.
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Martin <[email protected]>, since 1999