High-dimensional text datasets clustering algorithm based on cuckoo search and latent semantic indexing
Saida Ishak Boushaki, Nadjet Kamel and Omar Bendjeghaba
| Year of publication: |
September 2018
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| Authors: | Ishak-Boushaki, Saida ; Kamel, Nadjet ; Bendjeghaba, Omar |
| Published in: |
Journal of information & knowledge management : JIKM. - Singapore : IKMS, ISSN 0219-6492, ZDB-ID 2225563-1. - Vol. 17.2018, 3, p. 1850033-1-24
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| Subject: | Cucksoo search optimisation | high-dimensional text clustering | number of clusters | incremental clustering | internal validity index | latent semantic indexing | document clustering | vector space model | optimisation | metaheuristic | Clusteranalyse | Cluster analysis | Regionales Cluster | Regional cluster | Algorithmus | Algorithm | Semantisches Web | Semantic web | Metadaten | Metadata | Online-Recherche | Online search |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219646218500338 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011932405