Stability-Based Model Order Selection for Clustering Using Multiple Cooperative Particle Swarms View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Abbas Ahmadi , Fakhri Karray , Mohamed S. Kamel

ABSTRACT

Data clustering is the organization of a set of unlabelled data into similar groups. In this chapter, stability analysis is proposed to determine the model order of the underlying data using multiple cooperative swarms clustering. The mathematical explanations demonstrating why multiple cooperative swarms clustering leads to more stable and robust results than those of single swarm clustering are also provided. The proposed approach is evaluated using different data sets and its performance is compared with that of other clustering techniques. More... »

PAGES

197-218

References to SciGraph publications

Book

TITLE

Foundations of Computational Intelligence Volume 4

ISBN

978-3-642-01087-3
978-3-642-01088-0

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-01088-0_9

DOI

http://dx.doi.org/10.1007/978-3-642-01088-0_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038560340


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