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

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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Bibliographic Details
Main Authors: Timea Bezdan, Catalin Stoean, Ahmed Al Naamany, Nebojsa Bacanin, Tarik A. Rashid, Miodrag Zivkovic, K. Venkatachalam
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
machine learning
text document clustering
metaheuristic algorithms
fruit-fly optimization algorithm
K-means
Online Access:https://www.mdpi.com/2227-7390/9/16/1929

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https://www.mdpi.com/2227-7390/9/16/1929

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