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K-means based method for overlapping document clustering.
- Source :
-
Journal of Intelligent & Fuzzy Systems . 2020, Vol. 39 Issue 2, p2127-2135. 9p. - Publication Year :
- 2020
-
Abstract
- Overlapping clustering algorithms have shown to be effective for clustering documents. However, the current overlapping document clustering algorithms produce a big number of clusters, which make them little useful for the user. Therefore, in this paper, we propose a k-means based method for overlapping document clustering, which allows to specify by the user the number of groups to be built. Our experiments with different corpora show that our proposal allows obtaining better results in terms of FBcubed than other recent works for overlapping document clustering reported in the literature. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DOCUMENT clustering
Subjects
Details
- Language :
- English
- ISSN :
- 10641246
- Volume :
- 39
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 145429348
- Full Text :
- https://doi.org/10.3233/JIFS-179878