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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 82
Paper Published : 1209
No. of Authors : 3038
  Journal Paper

Paper Title
Clustering Based on Black Hole Phenomenon

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.


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

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| Published on 2016-11-07
   
   
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