Relational mountain (density) clustering method and web log analysis
✍ Scribed by Kuhu Pal; Nikhil R. Pal; James M. Keller; James C. Bezdek
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 139 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0884-8173
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✦ Synopsis
The mountain clustering method and the subtractive clustering method are useful methods for finding cluster centers based on local density in object data. These methods have been extended to shell clustering. In this article, we propose a relational mountain clustering method (RMCM), which produces a set of (proto) typical objects as well as a crisp partition of the objects generating the relation, using a new concept that we call relational density. We exemplify RMCM by clustering several relational data sets that come from object data. Finally, RMCM is applied to web log analysis, where it produces useful user profiles from web log data.