Particle Swarm Optimization Based Hierarchical Agglomerative Clustering

Clustering- an important data mining task, which groups the data on the basis of similarities among the data, can be divided into two broad categories, partitional clustering and hierarchal. We combine these two methods and propose a novel clustering algorithm called Hierarchical Particle Swarm Opti...

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Bibliographic Details

Published in:	2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. 2; pp. 64 - 68
Main Authors:	Alam, Shafiq, Dobbie, Gillian, Riddle, Patricia, Naeem, M. Asif
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2010
Subjects:	Accuracy Clustering algorithms Error analysis Mathematical models Merging Optimization Particle swarm optimization Partitioning algorithms Sensitivity Vectors
ISBN:	9781424484829, 1424484820
Online Access:	Get full text
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