BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering

K-means clustering is a fundamental tool in data mining, yet its scalability and efficacy decline when faced with massive datasets. In this work, we introduce BiModalClust, a novel clustering algorithm that leverages a bimodal optimization paradigm to overcome these challenges. Our approach simultan...

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Bibliographic Details
Main Authors: Ravil Mussabayev, Rustam Mussabayev
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/3/1032
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