BHOHS: A Two Stage Novel Algorithm for Data Clustering

Physics‐based search and optimization: Inspirations from nature

“…Hasan and El‐Hawary () applied the black hole algorithm to optimal power flow problem. Chandrasekar and Krishnamoorthi () applied the hybrid black hole optimization and heuristic search algorithm to data clustering problem.…”

“…Hasan and El-Hawary (2014) applied the black hole algorithm to optimal power flow problem. Chandrasekar and Krishnamoorthi (2014) applied the hybrid black hole optimization and heuristic search algorithm to data clustering problem. 4 | GALAXY-BASED SEARCH 4.1 | Theory behind the inspiration Galaxies are structures formed by the mutual gravitation of matter into bounded systems of stars, stellar remnants, interstellar gas, dust, and dark matter 1 (Hawking, 1998;Sandage, 1975).…”

“…To speedup the convergence and also to enhance exploitation at this stage, a local search algorithm is to be employed. Chandrasekar and Krishnamoorthi () proposed such a hybrid approach using black hole optimization as global search method and a heuristic search algorithm as local search method.…”

A Novel Multilayer Data Clustering Framework based on Feature Selection and Modified K-Means Algorithm

“…A novel and robust clustering algorithm named as the weighted possibilistic c-means clustering (WPCC) algorithm is proposed to estimate the positions of centers of PCM accurately to serve for the coming clustering process. In [10], Chandrasekar proposed a two stage algorithm for data clustering. In their methodology, heuristic search algorithm is adopted to overcome and solve the problem of the black hole optimization.…”

Evaluation of Public Servant Execution Based on Data Mining Technique and Multiple Factors Joint Modeling Analysis

“…The combination of data mining and management is challenging due to its complex mechanism. There are more related researches on data mining and analysis in the literature review [6][7][8][9][10][11][12][13][14][15].…”