A hybrid approach for text document clustering using Jaya optimization algorithm
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference42 articles.
1. A new feature selection method to improve the document clustering using particle swarm optimization algorithm;Abualigah;Journal of Computational Science,2018
2. Automated text clustering of newspaper and scientific texts in brazilian portuguese: Analysis and comparison of methods;Afonso;JISTEM,2014
3. A novel hierarchical clustering algorithm for online resources;Agarwal,2018
4. Cluster-based sparse topical coding for topic mining and document clustering;Ahmadi;Advances in Data Analysis and Classification,2017
5. An evolutionary approach for document clustering;Akter;IERI Procedia,2013
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