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Classification using Different Normalization Techniques in Support Vector Machine
IJCA Proceedings on International Conference on Communication Technology
© 2013 by IJCA Journal
ICCT - Number 2
Year of Publication: 2013
Priti Sudhir Patki and Vishakha V Kelkar. Article: Classification using Different Normalization Techniques in Support Vector Machine. IJCA Proceedings on International Conference on Communication Technology ICCT(2):4-6, October 2013. Full text available. BibTeX
@article{key:article,
author = {Priti Sudhir Patki and Vishakha V. Kelkar},
title = {Article: Classification using Different Normalization Techniques in Support Vector Machine},
journal = {IJCA Proceedings on International Conference on Communication Technology},
year = {2013},
volume = {ICCT},
number = {2},
pages = {4-6},
month = {October},
note = {Full text available}
}
Abstract
Classification is one of the most important tasks for different application such as text categorization, tone recognition, image classification, data classification etc. The Support Vector Machine is a popular classification technique. In this paper we have performed different normalization techniques on different datasets. These techniques help in obtaining high training accuracy for classification. The classification is performed on these datasets using SVM.
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