steps: In order to determine the unknown instance categories, with examples of all known categories as reference Parameter selection of K The calculation examples and all known examples of the unknown distance Choose the closest known instance K According to the majority voting rule (majority-voting), for example the unknown classified as K most adjacent to the majority in the sample category

02KNN\4.1 最邻近规则分类(K-Nearest Neighbor)KNN算法.html
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02KNN\iris.py
02KNN\irisdata.txt
02KNN\irisdata.txt~
02KNN\KNN.py
02KNN\KNNImplementation (my).py
02KNN\KNNImplementation (myfix).py
02KNN\KNNImplementation.py
02KNN\4.1 最邻近规则分类(K-Nearest Neighbor)KNN算法_files
02KNN

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