A New AntTree-Based Algorithm for Clustering Short-Text Corpora
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, text-messaging 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.