Presentation 2006-06-15
Stochastic Evolutionary Computation based on Multiple Minimum Spanning Trees for Gene Data Clustering
K. Namihira, M. NAKAMURA, T. OKAZAKI, S. Suharnan,
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Abstract(in English) This paper considers gene function analysis of coli bacteria and presents an algorithm using stochastic evolutionary computation based on multiple minimum spanning trees. The idea of using the minimum spanning tree is to reduce drastically the search space. However, we often can lose good solutions because of the reduction. Therefore, we try to overcome this weak point to use multiple minimum spanning trees. The stochastic evolutionary computation is also effective for this approach. Experimental evaluation shows efficiency of our method. The possibility that a high quality clustering is obtained can be improbed by considering multiple minimum spanning trees. This resarch aims to obtain effective clisters in actual data of coli bacteria.
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Keyword(in English) Clustering / Minimum spaninig tree / Stochastic Evolutionary Computation (StocE) / K-means
Paper # NC2006-18
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Committee NC
Conference Date 2006/6/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Stochastic Evolutionary Computation based on Multiple Minimum Spanning Trees for Gene Data Clustering
Sub Title (in English)
Keyword(1) Clustering
Keyword(2) Minimum spaninig tree
Keyword(3) Stochastic Evolutionary Computation (StocE)
Keyword(4) K-means
1st Author's Name K. Namihira
1st Author's Affiliation Department of Infomation Engineering, University of Ryukyus()
2nd Author's Name M. NAKAMURA
2nd Author's Affiliation Department of Infomation Engineering, University of Ryukyus
3rd Author's Name T. OKAZAKI
3rd Author's Affiliation Department of Infomation Engineering, University of Ryukyus
4th Author's Name S. Suharnan
4th Author's Affiliation Axio Hellix Co.
Date 2006-06-15
Paper # NC2006-18
Volume (vol) vol.106
Number (no) 101
Page pp.pp.-
#Pages 6
Date of Issue