International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 2, Issue 1, March 2009
Shuchita Upadhyaya, Alka Arora, Rajni Jain
Pages: 10 - 16
Clustering algorithms give general description of clusters, listing number of clusters and member entities in those clusters. However, these algorithms lack in generating cluster description in the form of pattern. From data mining perspective, pattern learning from clusters is as important as cluster...
Roelof K. Brouwer
Pages: 69 - 82
The proposed relational fuzzy clustering method, called FRFP ( fuzzy relational fixed point), is based on determining a fixed point of a function of the desired membership matrix. The ethod is compared to other relational clustering methods. Simulations show the method to be very effective and less...