Hierarchical clustering through bayesian inference

Authors:
Michal Spytkowski;Halina Kwasnicka
Affiliations:
Institute of Informatics, Wroclaw University of Technology, Poland;Institute of Informatics, Wroclaw University of Technology, Poland
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Year:
2012

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Abstract

Inheritance, Retention, Variance Hierarchical Clustering, based on Tree-Structured Stick Breaking for Hierarchical Data method which uses nested stick-breaking processes to allow for trees of unbounded width and depth, is proposed. The stress is put on the three requirements, the important one is that groups located lower in the hierarchy are more specific. The paper contains description of the method and experimental comparison of both methods.