A Global K-modes Algorithm for Clustering Categorical Data

查看全文 作　　者：BAI [1,2]Tian;C.A. [2]Kulikowski;GONG [3]Leiguang;YANG [1]Bin;HUANG [1]Lan;ZHOU [1]Chunguang 机构地区：[1]College of Computer Science and Technology, Jilin University, Changehun 130012, China;[2]Department of Computer Science, Rutgers University, New Brunswick, New Jersey, USA;[3]IBM Thomas J. Watson Research Center, Hawthorne, New Jersey, USA 出　　处：《Chinese Journal of Electronics》索引2012年第21卷第3期,共6页 基　　金：Manuscript Received July 2011; Accepted Jan. 2012. This work is supported by China Scholarship Council in Cooperation with Com- puter Science of Rutgers University. It is also supported by the National Natural Science Foundation of China (No.61175023, No.60973092, No.60903097); the Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry of China. 关 键 词：聚类算法 分类数据 全球分布 随机选择 优化过程 准则函数 机器学习 数据集