A new variant of black hole algorithm based on multi population and levy flight for clustering problem

A new variant of black hole algorithm based on multi population and levy flight for clustering problem

Data clustering is one of the most popular branches in machine learning and data analysis. Partitioning-based type of clustering algorithms, such as K-means, is prone to the problem of producing a set of clusters that is far from perfect due to its probabilistic nature. The clustering process starts...

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Bibliographic Details
Main Author: Haneen Abdul Wahab, Abdul Raheem
Format: Thesis
Language:English
Published: 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/30398/
http://umpir.ump.edu.my/id/eprint/30398/1/A%20new%20variant%20of%20black%20hole%20algorithm%20based%20on%20multi%20population%20and%20levy%20flight%20for%20clustering%20problem.wm.pdf

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