NDLI: Bottom-Up Multiple Row Addition Algorithms for the Biclustering-Problem

Content Provider	IEEE Xplore Digital Library
Author	Hyung-Won Koh Hildebrand, L.
Copyright Year	2007
Description	Author affiliation: Inst. for Anal. Sci., Dortmund (Hyung-Won Koh)
Abstract	The discovery of locally and significantly correlated subpatterns within a two-dimensional dataset has recently become quite popular and is amongst others addressed by methods solving the biclustering problem. The preservation of a particularly defined degree of homogeneity between elements within a bicluster plays a key role in the search procedure. A prominent quantity is known as the mean squared residue. Most approaches use such measures only to evaluate the found solutions a posteriori, instead of incorporating them directly into the search procedure. This work proposes a pairwise distance function related to the mean squared residue and includes this measure into two new multiple enrichment algorithms. The impact is demonstrated empirically by the enrichment of bicluster sets of a popular method and by the enrichment of randomly chosen single rows.
Starting Page	849
Ending Page	856
File Size	4593681
Page Count	8
File Format	PDF
ISBN	9781424415090
DOI	10.1109/BIBE.2007.4375659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative methods Algorithm design and analysis Clustering algorithms Instruction sets Costs Gene expression Biological processes Particle measurements Evolutionary computation Parameter estimation
Content Type	Text
Resource Type	Article

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