This article adresses the problem of assessing how close two strict and/or fuzzy partitions are. A new index based on a measurement of the sparsity of the contingency matrix crossing the partitions is proposed that satisfies the required properties formulated within the paper and presents a low complexity. It is compared to well-known existing indices of the literature, such as the Rand and the Jaccard indices, the transfert distance and some of their recent fuzzy counterparts. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Quéré, R., & Frélicot, C. (2012). A new index based on sparsity measures for comparing fuzzy partitions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7626 LNCS, pp. 291–300). https://doi.org/10.1007/978-3-642-34166-3_32
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