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
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Copyright: © Institute of Research and Journals
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Published on 2016-11-07 |
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