International Journal of Computational Intelligence Systems

Volume 8, Issue 1, January 2015, Pages 138 - 157

An Ant Colony-based Text Clustering System with Cognitive Situation Dimensions

Authors
Yi Guo, Yan Li, Zhiqing Shao
Corresponding Author
Yi Guo
Received 15 November 2013, Accepted 31 July 2014, Available Online 1 January 2015.
DOI
https://doi.org/10.2991/ijcis.2015.8.1.12How to use a DOI?
Keywords
Text Clustering, Cognitive Situation Dimensions, Situation Models, Ant Colony Optimization
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.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 1
Pages
138 - 157
Publication Date
2015/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2015.8.1.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Yi Guo
AU  - Yan Li
AU  - Zhiqing Shao
PY  - 2015
DA  - 2015/01/01
TI  - An Ant Colony-based Text Clustering System with Cognitive Situation Dimensions
JO  - International Journal of Computational Intelligence Systems
SP  - 138
EP  - 157
VL  - 8
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2015.8.1.12
DO  - https://doi.org/10.2991/ijcis.2015.8.1.12
ID  - Guo2015
ER  -