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...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser: Jacob, Elizabeth
Körperschaft: Mahatma Gandhi University, School of Computer Sciences
Format: Ph.D Thesis
Veröffentlicht: 2013
Schlagworte:
Soft computing, > Data clustering, > Gene grouping.
Online Zugang:http://hdl.handle.net/10603/6802

Online

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

MG University

Bestandesangaben von MG University
Exemplar Live-Status nicht verfügbar

Ähnliche Einträge