摘要：Research work on "short-text clustering" is a veryimportant research area due to the current tendencyfor people to use 'small-language', e.g. blogs, text-messaging and others. In some recent works, new bio-inspired clustering algorithms have been proposed todeal with this difficult problem and novel uses of In-ternal Clustering Validity Measures have also beenpresented. In this work, a new AntTree-based ap-proach is proposed for this task. It integrates infor-mation on the Silhouette Coefficient and the conceptof attraction of a cluster in different stages of the clus-tering process. The proposal achieves results compa-rable to the best reported results in this area, show-ing an interesting stability in the quality of the resultsand presenting some interesting capabilities as a gen-eral improvement method for arbitrary clustering ap-proaches
