k-Nearest Neighbor Classification I

M. Fareed Akhtar

doi:10.1201/b16023-5

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k-Nearest Neighbor Classification I

M. Fareed Akhtar

Year: 2016 Pages: 87-98

DOI: 10.1201/b16023-5

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Abstract

This chapter explains the k-NN classification algorithm and its operator in RapidMiner. The Use Case of this chapter applies the k-NN operator on the Teacher Evaluation dataset. The operators explained in this chapter are: Read URL, Rename, Numerical to Binominal, Numerical to Polynominal, Set Role, Split Validation, Apply Model, and Performance.

Keywords:

k-nearest neighbors algorithm Pattern recognition (psychology) Computer science Artificial intelligence

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k-Nearest Neighbor Classification I

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