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A New Approach of Data Clustering by Improved ACA with Fuzzy Similarity

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3 Author(s)

An approach of data clustering based on improved ACA with fuzzy similarity (ACA-Cluster) is presented. Combined with the global distribution and gradual evolution of improved ACA, we assign distribution rate as heuristic function to accelerate convergence. Performance of the algorithm is compared with K-means and LF to demonstrate efficiency and quality.

Published in:

Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on

Date of Conference:

1-3 Nov. 2007