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Abstract
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.