文献类型：期刊文献

英文题名：An Ant Colony-based Text Clustering System with Cognitive Situation Dimensions

作者：Guo, Yi[1,2];Li, Yan[3];Shao, Zhiqing[1]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Shihezi Univ, Sch Informat Sci & Technol, Shihezi 832003, Xinjiang, Peoples R China;[3]E China Univ Sci & Technol, Sch Foreign Languages, Shanghai 200237, Peoples R China

年份：2015

卷号：8

期号：1

起止页码：138

外文期刊名：INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

收录：;EI(收录号：20144600179421);WOS:【SCI-EXPANDED(收录号:WOS:000346062500012)】；

基金：This work is financially supported by National Natural Science Foundation of China (Grant No. 61462073 and 61003126), and the Fundamental Research Funds for the Central Universities (Grant No. WH1114029) granted to Yi Guo.

语种：英文

外文关键词：Cognitive Situation Dimensions; Text Clustering; Ant Colony Optimization; Situation Models

摘要：In order to build human cognition features into the procedure of clustering, this paper introduces a novel text clustering system, CogTCA (Cognitive Text Clustering with Ants), which (1) represents texts according to four cognitive situation dimensions in form of cognitive situation matrices and vectors rather than canonical sparse matrices of high dimensions, (2) proposes several new similarity measures among texts, and (3) implements a text clustering task as solving a combinatorial optimization problem with an encounter ant colony algorithm.