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DASFAA
2005
IEEE

A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data

11 years 7 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often returns a large number of highlyoverlapping clusters, which makes it hard for users to identify interesting patterns from the mining results. Moreover, there lacks of a general model for pattern-based clustering. Different kinds of patterns or different measures on the pattern coherence may require different algorithms. In this paper, we address the above two problems by proposing a general quality-driven approach to mining top-k quality pattern-based clusters. We examine our quality-driven approach using real world microarray data sets. The experimental results show that our method is general, effective and efficient.
Daxin Jiang, Jian Pei, Aidong Zhang
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where DASFAA
Authors Daxin Jiang, Jian Pei, Aidong Zhang
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