DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-4, Issue-10 ( Oct, 2016 ) | |||||||||
Paper Title |
Clustering Based on Black Hole Phenomenon | |||||||||
Author Name |
Kuo-Lung Wu, Avus Hou, Chun-Min Hung, Miin-Jye Wen | |||||||||
Affilition |
Department of Information Management, Kun Shan University, Tainan, Taiwan, ROC Department of Marketing and Distribution Management, Oriental Institute of Technology, Taipei, Taiwan, R.O.C. Department of Statistics, National Cheng Kung University, Tainan, Taiwan, ROC | |||||||||
Pages |
49-51 | |||||||||
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. | |||||||||
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