Copyright and Licensing
Articles accepted for publication will be licensed under the Creative Commons BY-NC. Authors must sign a non-exclusive distribution agreement after article acceptance.
Research work on "short-text clustering" is a very important research area due to the current tendency for people to use "small-language", e.g. blogs, textmessaging and others. In some recent works, new bioinspired clustering algorithms have been proposed to deal with this difficult problem and novel uses of Internal Clustering Validity Measures have also been presented. In this work, a new AntTree-based approach is proposed for this task. It integrates information on the Silhouette Coefficient and the concept of attraction of a cluster in different stages of the clustering process. The proposal achieves results comparable to the best reported results in this area, showing an interesting stability in the quality of the results and presenting some interesting capabilities as a general improvement method for arbitrary clustering approaches.
Articles accepted for publication will be licensed under the Creative Commons BY-NC. Authors must sign a non-exclusive distribution agreement after article acceptance.
ISSN
1666-6038 (Online)
1666-6046 (Print)
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