文献类型：期刊文献

英文题名：Cellular automata for self-organizing data clustering

作者：Shuai, Dianxun[1]; Xu, Li D.[2]; Zhang, Bin[1]; Dong, Yumin[3]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, China; [2] College of Business and Public Administration, Old Dominion University, Norfolk, VA 23529-0218, United States; [3] Center of Computer Networks, Qingdao Technological University, Qingdao 266033, China

年份：2006

卷号：4

起止页码：3371

外文期刊名：Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

收录：EI(收录号：20073510786986)

语种：英文

外文关键词：Cellular automata - Data structures - Random processes - VLSI circuits

摘要：A data clustering method based on the generalized cellular automata (GCA) is presented. The stochastic process over a GCA array is used to realize the self-organization of data clusters for the given data sets. Due to its particular stochastic characteristics, GCA can deal with dynamical data, noise data, multi-type data, asymmetrically distributed data, multi-shaped-cluster data, high-dimensional data and massive data sets. The GCA-based data clustering also has advantages over other sequential methods in terms of the high parallelism, the learning ability, and the easier hardware implementation with the VLSI systolic technology. ? 2006 IEEE.