Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering

The fast-growing Internet results in massive amounts of text data. Due to the large volume of the unstructured format of text data, extracting relevant information and its analysis becomes very challenging. Text document clustering is a text-mining process that partitions the set of text-based docum...

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Veröffentlicht in:	Mathematics (Basel) Jg. 9; H. 16; S. 1929
Hauptverfasser:	Bezdan, Timea, Stoean, Catalin, Naamany, Ahmed Al, Bacanin, Nebojsa, Rashid, Tarik A., Zivkovic, Miodrag, Venkatachalam, K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2021
Schlagworte:	Algorithms Benchmarks Clustering Cooperation Data mining Evaluation Feature selection Food science Foraging behavior fruit-fly optimization algorithm Hybrid systems Intelligence K-means machine learning metaheuristic algorithms Neural networks Optimization Optimization algorithms Population Swarm intelligence text document clustering Unstructured data
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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