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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsman: Jacob, Elizabeth
Institutionell upphovsman: Mahatma Gandhi University, School of Computer Sciences
Materialtyp: Ph.D Thesis
Publicerad: 2013
Ämnen:
Soft computing, > Data clustering, > Gene grouping.
Länkar:http://hdl.handle.net/10603/6802

Internet

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

MG University

Beståndsuppgifter i MG University
Exemplar Status otillgänglig

Liknande verk