Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
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Title
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
Authors
Keywords
Unsupervised text feature selection, Particle swarm optimization, Genetic operators, K-mean text clustering, Hybridization
Journal
JOURNAL OF SUPERCOMPUTING
Volume 73, Issue 11, Pages 4773-4795
Publisher
Springer Nature
Online
2017-04-11
DOI
10.1007/s11227-017-2046-2
References
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