A Similarity Measure for Clustering and its Applications



This paper introduces a measure of similarity between two clusterings of the same
dataset produced by two different algorithms, or even the same algorithm (K-means, for
instance, with different initializations usually produce different results in clustering the same dataset). We then apply the measure to calculate the similarity between pairs of clusterings, with special interest directed at comparing the similarity between various machine clusterings and human clustering of datasets.

Related Project

CACTUS: Computational Analysis of CT against US


Int. J. of Electrical, Computer, and Systems Engineering, Vol. 3, #3, May 2009

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