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An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering
Joint Authors
Alsaedi, Ahmed
Babrdel Bonab, Mohammad
Bazin, Nor Erne Nazira
Hashim Ali, S. A.
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-26
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Clustering is one of the most commonly used approaches in data mining and data analysis.
One clustering technique in clustering that gains big attention in clustering related research is k -means clustering such that the observation is grouped into k cluster.
However, some obstacles such as the adherence of results to the initial cluster centers or the risk of getting trapped into local optimality hinder the overall clustering performance.
The purpose of this research is to minimize the dissimilarity of all points of a cluster from gravity center of the cluster with respect to capacity constraints in each cluster, such that each element is allocated to only one cluster.
This paper proposes an effective combination algorithm to find optimal cluster center for the analysis of data in data mining and a new combination algorithm is proposed to untangle the clustering problem.
This paper presents a new hybrid algorithm, which is, based on cluster center initialization algorithm (CCIA), bees algorithm (BA), and differential evolution (DE), known as CCIA-BADE-K, aiming at finding the best cluster center.
The proposed algorithm performance is evaluated with standard data set.
The evaluation results of the proposed algorithm and its comparison with other alternative algorithms in the literature confirm its superior performance and higher efficiency.
American Psychological Association (APA)
Babrdel Bonab, Mohammad& Hashim Ali, S. A.& Bazin, Nor Erne Nazira& Alsaedi, Ahmed. 2015. An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1073300
Modern Language Association (MLA)
Babrdel Bonab, Mohammad…[et al.]. An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering. Mathematical Problems in Engineering No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1073300
American Medical Association (AMA)
Babrdel Bonab, Mohammad& Hashim Ali, S. A.& Bazin, Nor Erne Nazira& Alsaedi, Ahmed. An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1073300
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073300