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Statistics report
Dec. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 116
Paper Published : 1401
No. of Authors : 3560
  Journal Paper


Paper Title :
Clustering Based on Black Hole Phenomenon

Author :Kuo-Lung Wu, Avus Hou, Chun-Min Hung, Miin-Jye Wen

Article Citation :Kuo-Lung Wu ,Avus Hou ,Chun-Min Hung ,Miin-Jye Wen , (2016 ) " Clustering Based on Black Hole Phenomenon " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 49-51, Volume-4, Issue-10

Abstract : Big data analysis is a popular topic in recent years and clustering is one tool can be used to discover the data knowledge. Many clustering optimization problems are solved by a Nature-inspired heuristic algorithm. In this paper, we will propose a black hole clustering algorithm (BHC) by using the space gravitational phenomenon. Based on the concept of universal gravitation, we define a function to measure the gravitation of a star. Since the gravitational power of the black hole is so strong, the location of the black will have a maximum gravitation estimation function. At each step of BHC, the stars (data objects) will then attracted to those invisible black holes and finally be swallowed. Keywords- clustering; black hole; universal gravitation.

Type : Research paper

Published : Volume-4, Issue-10


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-5928   View Here

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