Volume 8, Issue 1, January 2015, Pages 138 - 157
An Ant Colony-based Text Clustering System with Cognitive Situation Dimensions
Yi Guo, Yan Li, Zhiqing Shao
Received 15 November 2013, Accepted 31 July 2014, Available Online 1 January 2015.
- https://doi.org/10.2991/ijcis.2015.8.1.12How to use a DOI?
- Text Clustering, Cognitive Situation Dimensions, Situation Models, Ant Colony Optimization
- 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.
- 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 -