期刊
JOURNAL OF CLASSIFICATION
卷 23, 期 2, 页码 301-313出版社
SPRINGER
DOI: 10.1007/s00357-006-0017-z
关键词
similarity indices; equivalence of similarity indices; correction for chance agreement; comparison of clusterings; Cohen's kappa
Similarity indices can be used to compare partitions (clusterings) of a data set. Many such indices were introduced in the literature over the years. We are showing that out of 28 indices we were able to track, there are 22 different ones. Even though their values differ for the same clusterings compared, after correcting for agreement attributed to chance only, their values become similar and some of them even become equivalent. Consequently, the problem of choice of the index to be used for comparing different clusterings becomes less important.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据