Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/s00357-006-0017-z | J. Classification |
Keywords | Field | DocType |
Cluster Size,Similarity Index,American Statistical Association,Chance Agreement,Similarity Table | Econometrics,Cohen's kappa,Cluster analysis,Multivariate analysis,Statistics,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 2 | 0176-4268 |
Citations | PageRank | References |
49 | 6.16 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ahmed N. Albatineh | 1 | 67 | 8.55 |
Magdalena Niewiadomska-Bugaj | 2 | 65 | 9.51 |
Daniel Mihalko | 3 | 49 | 6.16 |