Name
Abstract | ||
|---|---|---|
Rand index is one of the most popular measures for comparing two partitions over a set of objects. Several approaches have extended this measure for those cases involving fuzzy partitions. In previous works, we developed a methodology for correspondence analysis between partitions in terms of data mining tools. In this paper we discuss how, without any additional cost, it can be applied as an alternate computation of Rand index, allowing us not only to compare both crisp and fuzzy partitions, but also classes inside these partitions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33362-0_26 | SUM |
Keywords | Field | DocType |
fuzzy partition,popular measure,additional cost,fuzzy data mining tool,alternate computation,previous work,correspondence analysis,data mining tool,rand index | Data mining,Fuzzy set operations,Computer science,Fuzzy logic,Rand index,Artificial intelligence,Correspondence analysis,Machine learning,Fuzzy data mining,Computation | Conference |
Citations | PageRank | References |
0 | 0.34 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Molina | 1 | 16 | 6.13 |
| Belén Prados | 2 | 3 | 2.14 |
| María-Dolores Ruiz | 3 | 17 | 0.94 |
| Daniel Sánchez | 4 | 967 | 60.29 |
| José-maría Serrano | 5 | 121 | 10.48 |