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  • Category : AI-NN-PR
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  • Update : 2017-08-30
  • Size : 196kb
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Introduction - If you have any usage issues, please Google them yourself
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
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01DTree\3.1 决策树(decision tree)算法.html
01DTree\3.1 决策树(decision tree)算法_files\c2cec3fdfc0392456a6ac4258694a4c27d1e2538.jpg
01DTree\3.1 决策树(decision tree)算法_files\Image [1].png
01DTree\3.1 决策树(decision tree)算法_files\Image [2].png
01DTree\3.1 决策树(decision tree)算法_files\Image [3].png
01DTree\3.1 决策树(decision tree)算法_files\Image [4].png
01DTree\3.1 决策树(decision tree)算法_files\Image [5].png
01DTree\3.1 决策树(decision tree)算法_files\Image [6].png
01DTree\3.1 决策树(decision tree)算法_files\Image [7].png
01DTree\3.1 决策树(decision tree)算法_files\Image [8].png
01DTree\3.1 决策树(decision tree)算法_files\Image.png
01DTree\3.1 决策树(decision tree)算法_files\Thumbs.db
01DTree\3.2 决策树(decision tree)应用.html
01DTree\3.2 决策树(decision tree)应用_files\Image.png
01DTree\3.2 决策树(decision tree)应用_files\Thumbs.db
01DTree\allElectronicInformationGainOri.dot
01DTree\AllElectronics.csv
01DTree\AllElectronics.py
01DTree\3.1 决策树(decision tree)算法_files
01DTree\3.2 决策树(decision tree)应用_files
01DTree
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