An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity

  • Authors:
  • Stefano Rovetta;Francesco Masulli

  • Affiliations:
  • Dipartimento di Informatica e Scienze dell'Informazione, Università di Genova, and CNISM Genova Research Unit, Genova, Italy I-16146;Dipartimento di Informatica e Scienze dell'Informazione, Università di Genova, and CNISM Genova Research Unit, Genova, Italy I-16146 and Center for Biotechnology, Temple University, Philadelp ...

  • Venue:
  • WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on co-association 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.