Data classification with k-NN using novel character frequency-direct word frequency (CF-DWF) similarity formula
The k-NN is one of the most popular and easy in implementation algorithm to classify the data. The best thing about k-NN is that it accepts changes with improved version. Despite many advantages of the k-NN, it is also facing many issues. These issues are: distance/similarity calculation complexity,...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
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Institute of Electrical and Electronics Engineers Inc.
2016
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995551134&doi=10.1109%2fISMSC.2015.7594066&partnerID=40&md5=449ec4f765f99240969706e2a6057759 http://eprints.utp.edu.my/30930/ |
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| Institution: | Universiti Teknologi Petronas |