An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity

Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perform some experiments to investigate whether specificities can be highlighted in their behaviour. A unified formalism is used, which allows easy generalization of several indexes to a fuzzy setting. A selection of indexes is presented, and experiments investigate simplified cases and a paradigmatic real-world case, as an illustration of application.

• Type: Conference
• Year: 2009
• Where: WILF
• Authors: Stefano Rovetta, Francesco Masulli
• Keywords: Artificial Intelligence, Classic Problem, Data Pairs, Paradigmatic Real-world Case, WILF 2009