MSCTrees: a mean-shift based toolkit for cluster analysis of phylogenetic trees

Abstract

Background Mean shift, an iterative technique for identifying the local maxima of a probability density function, has been successfully used as a clustering method in computer vision and image processing. We apply the mean shift technique to the high dimensional space of phylogeny trees. The basic idea behind this technique is to, given a set of sample… (More)
DOI: 10.1186/1471-2105-12-S7-A13

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Cite this paper

@inproceedings{Li2011MSCTreesAM, title={MSCTrees: a mean-shift based toolkit for cluster analysis of phylogenetic trees}, author={Weixi Li and Jerzy W. Jaromczyk}, booktitle={BMC Bioinformatics}, year={2011} }