Information Clusters Using an Evolutionary Algorithm

Provided by: IJAIR
Topic: Data Management
Format: PDF
Cluster analysis is a key technique in the conventional data analysis and in knowledge discovery where it is more efficient or better suited to a particular type of data, cluster, or application. Many clustering methods have been recognized, including the most widely used K-means approach, which requires the number of clusters to be specified in advance and is dependent on initial starting points. The authors present an evolutionary-based rough clustering algorithm, which is designed to overcome these restrictions.

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