[PDF][PDF] Performance analysis in text clustering using k-means and k-medoids algorithms for Malay crime documents

R Mohemad, NNM Muhait, NMM Noor… - International Journal of …, 2022 - academia.edu
Few studies on text clustering for the Malay language have been conducted due to some
limitations that need to be addressed. The purpose of this article is to compare the two …

Text Document clustering using partial Fractionation and Bisecting K-means

H Singh, S Kaur, C Kaushal - 2022 10th International …, 2022 - ieeexplore.ieee.org
In the era of big data, text clustering has come up as an important technique in fields such as
web documents collection, news recommendation systems, health data collection, business …

Clustering Methods and Tools to Handle High-Dimensional Social Media Text Data

M Amadeus, WAC Castañeda - … of NLP and Deep Learning in Social …, 2023 - igi-global.com
Social media data has changed the way big data is used. The amount of data available
offers more natural insights that make it possible to find relations and social interactions …

A hybrid feature selection technique using chi-square with genetic algorithm

AI Kadhim, AA Abdalhameed - 2022 Muthanna International …, 2022 - ieeexplore.ieee.org
A huge amount of information is available in different fields like information technology and
computer science. A new hybrid feature selection technique via using chi-square with …

[引用][C] Text document clustering using modified particle swarm optimization with k-means model

R Dodda, AS Babu - International Journal on Artificial Intelligence …, 2024 - World Scientific
In the present digital era, vast amounts of data are generated by millions of Internet users in
the form of unstructured text documents. The clustering and organizing of text documents …