GBK-means-Clustering-Algorithm

Versión 1.0.2 (16,8 KB) por milad eshkevari
This repository contains the matlab based implementation of the 'GBK-means clustering algorithm: An improvement to the K-means algorithm.
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Welcome. This repository contains the matlab based implementation of the 'GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game'. In this repository, source codes of GBK-means Clustering Algorithm and its comparisons with two well-knowed clustering algorithms, K-means and fuzzy cmeans, are presented. Comparisons have been made on artificial and real world data sets with regard to Common validity indexes. Proposed approach is a new mechanism for addressing cluster analysis problem in wich cluster centers compete with each other to attract the largest number of similar objects or entities to their cluster.

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Mustafa Jahangoshai Rezaee, Milad Eshkevari, Morteza Saberi, Omar Hussain, GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game, Knowledge-Based Systems, Volume 213, 2021, 106672, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2020.106672. (http://www.sciencedirect.com/science/article/pii/S0950705120308017)

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Se creó con R2020b
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