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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Bibliografiske detaljer
Hovedforfatter: Jacob, Elizabeth
Institution som forfatter: Mahatma Gandhi University, School of Computer Sciences
Format: Ph.D Thesis
Udgivet: 2013
Fag:
Soft computing, > Data clustering, > Gene grouping.
Online adgang:http://hdl.handle.net/10603/6802

Internet

http://hdl.handle.net/10603/6802

MG University

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