2010 AHierarchicalInformationTheoret

• (Dang et al., 2010) ⇒ Xuan-Hong Dang, and James Bailey. (2010). “A Hierarchical Information Theoretic Technique for the Discovery of Non Linear Alternative Clusterings.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835878

Subject Headings:

Notes

• Categories and Subject Descriptors: I.5 Pattern Recognition: Clustering.
• General Terms: Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%22A+hierarchical+information+theoretic+technique+for+the+discovery+of+non+linear+alternative+clusterings%22+2010
• http://portal.acm.org/citation.cfm?id=1835878&preflayout=flat#citedby

Quotes

Author Keywords

Alternative Clustering, Information Theoretic Learning, Parzen-window technique

Abstract

Discovery of alternative clusterings is an important method for exploring complex datasets. It provides the capability for the user to view clustering behaviour from different perspectives and thus explore new hypotheses. However, current algorithms for alternative clustering have focused mainly on linear scenarios and may not perform as desired for datasets containing clusters with non linear shapes. Our goal in this paper is to address this challenge of non linearity. In particular, we propose a novel algorithm to uncover an alternative clustering that is distinctively different from an existing, reference clustering. Our technique is information theory based and aims to ensure alternative clustering quality by maximizing the mutual information between clustering labels and data observations, whilst at the same time ensuring alternative clustering distinctiveness by minimizing the information sharing between the two clusterings. We perform experiments to assess our method against a large range of alternative clustering algorithms in the literature. We show our technique's performance is generally better for non-linear scenarios and furthermore, is highly competitive even for simpler, linear scenarios.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 AHierarchicalInformationTheoret	Xuan-Hong Dang James Bailey			A Hierarchical Information Theoretic Technique for the Discovery of Non Linear Alternative Clusterings		KDD-2010 Proceedings		10.1145/1835804.1835878		2010