Web Page Clustering Using a Fuzzy Logic Based Representation and Self-Organizing Maps
Alberto Pérez García-Plaza, Víctor Fresno, Raquel Martínez‐España · 2008
This article introduces and evaluates a fuzzy logic based representation for HTML document clustering using Self-Organizing Maps. This representation is built on heuristic combinations of criteria by means of a fuzzy rules system and based on the HTML markup. We evaluate the model using different feature vector sizes. Experimental results show an improvement in clustering quality when the fuzzy logic-based model is used instead of the vector space model with traditional term weighting functions in a standard benchmark dataset.