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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification
Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020206
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 2, 2013.
Abstract: This paper presents a comparative account of unsupervised and supervised learning models and their pattern classification evaluations as applied to the higher education scenario. Classification plays a vital role in machine based learning algorithms and in the present study, we found that, though the error back-propagation learning algorithm as provided by supervised learning model is very efficient for a number of non-linear real-time problems, KSOM of unsupervised learning model, offers efficient solution and classification in the present study.
Keywords: Classification; Clustering; Learning; MLP; SOM; Supervised learning; Unsupervised learning;
R. Sathya and Annamma Abraham, “Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(2), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020206
@article{Sathya2013,
title = {Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020206},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020206},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {2},
author = {R. Sathya and Annamma Abraham}
}
