Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
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 <[email protected]> 1998/05/21 --------- For historical reasons, we keep R/README-Splus which has no relevance to the R package. --------------------- 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. ------------------ Martin <[email protected]>, since 1999