Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering

标题
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
作者
关键词
Unsupervised text feature selection, Particle swarm optimization, Genetic operators, K-mean text clustering, Hybridization
出版物
JOURNAL OF SUPERCOMPUTING
Volume 73, Issue 11, Pages 4773-4795
出版商
Springer Nature
发表日期
2017-04-11
DOI
10.1007/s11227-017-2046-2

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