Cluster Analysis Using Rough Clustering and k-Means Clustering

Cluster Analysis Using Rough Clustering and k-Means Clustering

Kevin E. Voges (University of Canterbury, New Zealand)
DOI: 10.4018/978-1-59140-553-5.ch077
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Abstract

Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. The technique is of interest to managers in information science because of its potential use in identifying user needs though segmenting users such as Web site visitors. In addition, the theory of rough sets is the subject of intense interest in computational intelligence research. The extension of this theory into rough clustering provides an important and potentially useful addition to the range of cluster analysis techniques available to the manager.

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