Silhouette + attraction: A simple and effective method for text clustering
Marcelo Luis Errecalde, Leticia Cagnina, Paolo Rosso · Natural Language Engineering · 2015
Abstract This article presents silhouette–attraction (Sil–Att), a simple and effective method for text clustering, which is based on two main concepts: thesilhouette coefficientand the idea ofattraction. The combination of both principles allows us to obtain a general technique that can be used either as a boosting method, which improves results of other clustering algorithms, or as an independent clustering algorithm. The experimental work shows thatSil–Attis able to obtain high-quality results on text corpora with very different characteristics. Furthermore, its stable performance on all the considered corpora is indicative that it is a very robust method. This is a very interesting positive aspect ofSil–Attwith respect to the other algorithms used in the experiments, whose performances heavily depend on specific characteristics of the corpora being considered.