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On mining micro-array data by Order-Preserving Submatrix
by Lin Cheung, David W. Cheung, Ben Kao, Kevin Y. Yip, Michael K. Ng
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 3, No. 1, 2007

 

Abstract: We study the problem of pattern-based subspace clustering which is clustering by pattern similarity finds objects that exhibit a coherent pattern of rises and falls in subspaces. Applications of pattern-based subspace clustering include DNA micro-array data analysis. Our goal is to devise pattern-based clustering methods that are capable of: discovering useful patterns of various shapes, and discovering all significant patterns. Our approach is to extend the idea of Order-Preserving Submatrix (OPSM). We devise a novel algorithm for mining OPSM, show that OPSM can be generalised to cover most existing pattern-based clustering models and propose a number of extensions to the original OPSM model.

 

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