Hybridization of K-Means and Harmony Search Methods for Web Page Clustering

Clustering is currently one of the most crucial techniques for dealing with massive amount of heterogeneous information on the web, which is beyond human being’s capacity to digest. Recent studies have shown that the most commonly used partitioning-based clustering algorithm, the K-means algorithm,...

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Bibliographic Details
Main Authors:	Forsati, Rana, Meybodi, MohammadReza, Mahdavi, Mehrdad, Neiat, AzadehGhari
Format:	Conference Proceeding
Language:	English
Subjects:	Clustering Clustering algorithms Clustering methods Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning > Cluster analysis Data mining Information retrieval Information systems > Information retrieval Information systems > Information storage systems Intelligent agent Optimization Optimization methods Partitioning algorithms Search methods Stochastic processes Web pages
Online Access:	Get full text
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