Low-complexity fuzzy relational clustering algorithms for Web mining

@article{Krishnapuram2001LowcomplexityFR,
  title={Low-complexity fuzzy relational clustering algorithms for Web mining},
  author={Raghu Krishnapuram and Anupam Joshi and Olfa Nasraoui and Liyu Yi},
  journal={IEEE Trans. Fuzzy Systems},
  year={2001},
  volume={9},
  pages={595-607}
}
This paper presents new algorithms (Fuzzy c-Medoids or FCMdd and Robust Fuzzy c-Medoids or RFCMdd) for fuzzy clustering of relational data. The objective functions are based on selecting c representative objects (medoids) from the data set in such a way that the total fuzzy dissimilarity within each cluster is minimized. A comparison of FCMdd with the well-known Relational Fuzzy c-Means algorithm (RFCM) shows that FCMdd is more eÆcient. We present several applications of these algorithms to Web… CONTINUE READING
Highly Influential
This paper has highly influenced 19 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 296 citations. REVIEW CITATIONS

5 Figures & Tables

Topics

Statistics

02040'03'05'07'09'11'13'15'17
Citations per Year

296 Citations

Semantic Scholar estimates that this publication has 296 citations based on the available data.

See our FAQ for additional information.