Unsupervised data classification using improved biogeography based optimization

Avinash Chandra Pandey (), Raju Pal () and Ankur Kulhari ()
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Avinash Chandra Pandey: Jaypee Institute of Information Technology
Raju Pal: Jaypee Institute of Information Technology
Ankur Kulhari: Jaypee Institute of Information Technology

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 4, No 8, 829 pages

Abstract: Abstract Unsupervised data classification (data clustering) is one of the mostly used data analysis methods which groups the unlabeled data into identical clusters (groups). Classical clustering methods do not perform effectively while clustering high dimensional datasets viz micro array datasets. Therefore, a novel clustering method based on Biogeography based optimization is proposed to extend the capabilities of traditional clustering methods. Performance of proposed method has been tested on the four micro-array datasets. Experimental results validate the effectiveness of proposed method.

Keywords: Data clustering; Biogeography-based optimization; Fitness function; Metaheuristic methods (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s13198-017-0660-2

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