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: | , |
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| Format: | Conference or Workshop Item |
| Published: |
Springer Verlag
2015
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| Subjects: | |
| Online Access: | 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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| Institution: | Chiang Mai University |