Title :
A New Approach of Data Clustering by Improved ACA with Fuzzy Similarity
Author :
Wu, Wen-Yan ; Cheng, Kun ; Zhang, Hong-Wei
Abstract :
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.
Keywords :
Acceleration; Ant colony optimization; Cadaver; Clustering algorithms; Computer science; Convergence; Data engineering; Data privacy; Information technology; Petroleum;
Conference_Titel :
Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3016-1
DOI :
10.1109/ISDPE.2007.12
