Agglomerative model for Fuzzy Relational Clustering (FRC)

Sumit Sen, Rajesh N. Dave

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


The concept of agglomerative model has been incorporated to the Fuzzy Relational Clustering (FRC) to address the issue of unknown number of clusters and a new agglomerative fuzzy relational clustering (A-FRC) is proposed. The method starts with a large number of small clusters. As the iteration proceeds, the number of clusters is progressively reduced based on the cardinality of the clusters. The algorithm then finally converges to an optimal number of clusters. The proposed algorithm has been tested for both the object data and relational data.

Original languageEnglish (US)
Pages (from-to)267-271
Number of pages5
JournalAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
StatePublished - 2000
Event19th International Confernce of the North American Fuzzy Information Processing Society-NAFIPS (PEACH FUZZ 2000) - Atlanta, GA, USA
Duration: Jul 13 2000Jul 15 2000

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics


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