On Wed, 3 Dec 2003, Bruno Giordano wrote: > Hi, > I'm clustering objects defined by categorical variables with a hierarchical > algorithm - average linkage. > My distance matrix (general dissimilarity coefficient) includes several > distances with exactly the same values. > As I see, a standard agglomerative procedure ignores this problems, simply > selecting, above equal distances, the one that comes first. > For this reason the analysis in output depends strongly on the orderings of > the objects within the raw data matrix. > Is there a standard procedure to deal with this?
Don't use average linkage! -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
