A bio inspired fuzzy k-modes clustring algorithm

Authors:
Omar S. Soliman;Doaa A. Saleh;Samaa Rashwan
Affiliations:
Faculty of Computers and Information, Cairo University, Egypt;Faculty of Computers and Information, Cairo University, Egypt;Faculty of Computers and Information, Cairo University, Egypt
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Year:
2012

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Abstract

This paper proposes a bio inspired fuzzy K-Modes clustering algorithm using fuzzy particle swarm optimization (FPSO) and fuzzy k-modes (FK-Modes) algorithm for clustering categorical data. It integrates concepts of FK-Modes algorithm to handle the uncertainty phenomena and FPSO to reach global optimal solution of clustering optimization problem. The proposed FPSO-FK-Modes algorithm was implemented and evaluated using slandered benchmark data sets and performance measures. Experimental results showed that the proposed FPSO-FK-Modes algorithm performed well compared with FK-modes and Genetic FK-modes (GA- FK-modes) algorithm using adjusted rand index.