Black Hole Clustering: Gravity-Based Approach with No Predetermined Parameters
Belal K. ELFarra,
Mamoun A. A. Salaha,
Wesam M. Ashour
Abstract:Clustering is a fundamental technique in data mining and machine learning, aiming to group data elements into related clusters. However, traditional clustering algorithms, such as K-means, suffer from limitations such as the need for user-defined parameters and sensitivity to initial conditions. This paper introduces a novel clustering algorithm called Black Hole Clustering (BHC), which leverages the concept of gravity to identify clusters. Inspired by the behavior of masses in the physical world, gravity-base… Show more
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