An Ensemble K-Nearest Neighbor with Neuro-Fuzzy Method for Classification

This paper introduces an ensemble k-nearest neighbor with neuro-fuzzy method for the classification. A new paradigm for classification is proposed. The structure of the system includes the use of neural network, fuzzy logic and k-nearest neighbor. The first part is the beginning stages of learning b...

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Main Authors: Saetern,K., Eiamkanitchat,N.
格式: Conference or Workshop Item
出版: Springer Verlag 2015
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在線閱讀:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906886880&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39062
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機構: Chiang Mai University