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A soft computing model for data clustering and application to gene grouping
Abstract: Data clustering aims at discovering groups and identifying patterns in data. A large number of clustering algorithms and their variations exist in literature. In this work, we consider data that has a natural ordering based on some criterion. The problem can be stated as clustering of sequ...
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| Format: | Ph.D Thesis |
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2013
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| Accès en ligne: | http://hdl.handle.net/10603/6802 |
Internet
http://hdl.handle.net/10603/6802MG University
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