| 摘要 |
Systems and methods for measuring similarity between a first set of clusters and a second set of clusters apply a first clustering procedure and a second clustering procedure to a set of objects to cluster the objects into a first set of clusters and a second set of clusters, respectively, calculate a similarity index between the first set of clusters and the second set of clusters, calculate an expected value of the similarity index, wherein the expected value is a value of the similarity index one would expect to obtain, on average, between a randomly generated third set of clusters and a randomly generated fourth set of clusters with a same number of clusters as the first set of clusters and the second set of clusters, respectively, and adjust the calculated similarity index based on the expected value of the similarity index.
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