Journal of Computer and Communications

Vol.2 No.4(2014), Paper ID 43889, 9 pages

DOI:10.4236/jcc.2014.24027

 

Improvement the Accuracy of Six Applied Classification Algorithms through Integrated Supervised and Unsupervised Learning Approach

 

Sharareh R. Niakan Kalhori, Xiao-Jun Zeng

 

1Department of Public Health, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 2Social Determinants of Health Research Center, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Department of Machine Learning and Optimization, School of Computer Science, The University of Manchester, Manchester, UK

 

Copyright © 2014 Sharareh R. Niakan Kalhori, Xiao-Jun Zeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Kalhori, S. and Zeng, X. (2014) Improvement the Accuracy of Six Applied Classification Algorithms through Integrated Supervised and Unsupervised Learning Approach. Journal of Computer and Communications, 2, 201-209. doi: 10.4236/jcc.2014.24027.

Copyright © 2026 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.