Non parametric clustering
Dear Giorgio, Fixed Point Clustering is somewhat related to the mean shift algorithm, see fixmahal in the package fpc and the references given there (note that this is for overlapping clustering, not partitioning). Another potentially useful method could be dbscan, as well implemented in fpc. mclust offers Gaussian mixtures with a uniform "noise" component (may make sense after transforming your variables). trimcluster has trimmed k-means, if you look for spherical clusters and the problem with normality is basically outliers or heavy tails. You may also have a look at pam/clara in package cluster. Best regards, Christian
On Thu, 5 Nov 2009, giorgio.arcara at unipd.it wrote:
Hello, I need to run an unsupervised clustering analysis on several non normal variables. I think that mean shift algorithm fit perfectly my needs. Is there a package that run this kind of analysis? Is there any other non parametric cluster analysis that you would suggest me? Thank you in advance -- Giorgio Arcara Ph.D. student in Psychobiology University of Padova Department of General Psychology Via Venezia 8 35131 Padova, Italy e-mail: giorgio.arcara at unipd.it Tel. +39 049 8276957
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*** --- *** Christian Hennig University College London, Department of Statistical Science Gower St., London WC1E 6BT, phone +44 207 679 1698 chrish at stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche