Title :
Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures
Author :
Hüllermeier, Eyke ; Rifqi, Maria ; Henzgen, Sascha ; Senge, Robin
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Marburg, Marburg, Germany
fDate :
6/1/2012 12:00:00 AM
Abstract :
In this paper, we introduce a fuzzy extension of a class of measures to compare clustering structures, namely, measures that are based on the number of concordant and the number of discordant pairs of data points. This class includes the well-known Rand index but also commonly used alternatives, such as the Jaccard measure. In contrast with previous proposals, our extension exhibits desirable metrical properties. Apart from elaborating on formal properties of this kind, we present an experimental study in which we compare different fuzzy extensions of the Rand index and the Jaccard measure.
Keywords :
fuzzy set theory; pattern clustering; Jaccard measure; Rand index generalization; clustering structure; fuzzy partition; metrical property; Bonding; Clustering algorithms; Indexes; Loss measurement; Probabilistic logic; Proposals; Vectors; Clustering; Jaccard index; Rand index; distance; fuzzy partition; similarity;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2011.2179303