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kNN(python实现)

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  • Category : AI-NN-PR
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  • Update : 2018-03-24
  • Size : 33kb
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  • Author ：zhangt******
  • About ： Nobody
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Introduction - If you have any usage issues, please Google them yourself
The classification algorithm, the nearest K approach, is used for classification analysis, which belongs to data processing.
Packet file list
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FilenameSizeUpdate
kNN.py 2464 2015-05-23
testDigits\0_1.txt 1056 2015-05-10
testDigits\0_2.txt 1056 2015-05-10
testDigits\0_3.txt 1056 2015-05-10
testDigits\0_4.txt 1056 2015-05-10
testDigits\0_5.txt 1056 2015-05-10
testDigits\1_1.txt 1056 2015-05-10
testDigits\1_2.txt 1056 2015-05-10
testDigits\1_3.txt 1056 2015-05-10
testDigits\1_4.txt 1056 2015-05-10
testDigits\1_5.txt 1056 2015-05-10
testDigits\2_1.txt 1056 2015-05-10
testDigits\2_2.txt 1056 2015-05-10
testDigits\2_3.txt 1056 2015-05-10
testDigits\2_4.txt 1056 2015-05-10
testDigits\2_5.txt 1056 2015-05-10
testDigits\3_1.txt 1056 2015-05-10
testDigits\3_2.txt 1056 2015-05-10
testDigits\3_3.txt 1056 2015-05-10
testDigits\3_4.txt 1056 2015-05-10
testDigits\3_5.txt 1056 2015-05-10
testDigits\4_1.txt 1056 2015-05-10
testDigits\4_2.txt 1056 2015-05-10
testDigits\4_3.txt 1056 2015-05-10
testDigits\4_4.txt 1056 2015-05-10
testDigits\4_5.txt 1056 2015-05-10
testDigits\5_1.txt 1056 2015-05-10
testDigits\5_2.txt 1056 2015-05-10
testDigits\5_3.txt 1056 2015-05-10
testDigits\5_4.txt 1056 2015-05-10
testDigits\5_5.txt 1056 2015-05-10
testDigits\6_1.txt 1056 2015-05-10
testDigits\6_2.txt 1056 2015-05-10
testDigits\6_3.txt 1056 2015-05-10
testDigits\6_4.txt 1056 2015-05-10
testDigits\6_5.txt 1056 2015-05-10
testDigits\7_1.txt 1056 2015-05-10
testDigits\7_2.txt 1056 2015-05-10
testDigits\7_3.txt 1056 2015-05-10
testDigits\7_4.txt 1056 2015-05-10
testDigits\7_5.txt 1056 2015-05-10
testDigits\8_1.txt 1056 2015-05-10
testDigits\8_2.txt 1056 2015-05-10
testDigits\8_3.txt 1056 2015-05-10
testDigits\8_4.txt 1056 2015-05-10
testDigits\8_5.txt 1056 2015-05-10
testDigits\9_1.txt 1056 2015-05-10
testDigits\9_2.txt 1056 2015-05-10
testDigits\9_3.txt 1056 2015-05-10
testDigits\9_4.txt 1056 2015-05-10
testDigits\9_5.txt 1056 2015-05-10
trainingDigits\0_1.txt 1056 2015-05-10
trainingDigits\0_10.txt 1056 2015-05-10
trainingDigits\0_2.txt 1056 2015-05-10
trainingDigits\0_3.txt 1056 2015-05-10
trainingDigits\0_4.txt 1056 2015-05-10
trainingDigits\0_5.txt 1056 2015-05-10
trainingDigits\0_6.txt 1056 2015-05-10
trainingDigits\0_7.txt 1056 2015-05-10
trainingDigits\0_8.txt 1056 2015-05-10
trainingDigits\0_9.txt 1056 2015-05-10
trainingDigits\1_1.txt 1056 2015-05-10
trainingDigits\1_10.txt 1056 2015-05-10
trainingDigits\1_2.txt 1056 2015-05-10
trainingDigits\1_3.txt 1056 2015-05-10
trainingDigits\1_4.txt 1056 2015-05-10
trainingDigits\1_5.txt 1056 2015-05-10
trainingDigits\1_6.txt 1056 2015-05-10
trainingDigits\1_7.txt 1056 2015-05-10
trainingDigits\1_8.txt 1056 2015-05-10
trainingDigits\1_9.txt 1056 2015-05-10
trainingDigits\2_1.txt 1056 2015-05-10
trainingDigits\2_10.txt 1056 2015-05-10
trainingDigits\2_2.txt 1056 2015-05-10
trainingDigits\2_3.txt 1056 2015-05-10
trainingDigits\2_4.txt 1056 2015-05-10
trainingDigits\2_5.txt 1056 2015-05-10
trainingDigits\2_6.txt 1056 2015-05-10
trainingDigits\2_7.txt 1056 2015-05-10
trainingDigits\2_8.txt 1056 2015-05-10
trainingDigits\2_9.txt 1056 2015-05-10
trainingDigits\3_1.txt 1056 2015-05-10
trainingDigits\3_10.txt 1056 2015-05-10
trainingDigits\3_2.txt 1056 2015-05-10
trainingDigits\3_3.txt 1056 2015-05-10
trainingDigits\3_4.txt 1056 2015-05-10
trainingDigits\3_5.txt 1056 2015-05-10
trainingDigits\3_6.txt 1056 2015-05-10
trainingDigits\3_7.txt 1056 2015-05-10
trainingDigits\3_8.txt 1056 2015-05-10
trainingDigits\3_9.txt 1056 2015-05-10
trainingDigits\4_1.txt 1056 2015-05-10
trainingDigits\4_10.txt 1056 2015-05-10
trainingDigits\4_2.txt 1056 2015-05-10
trainingDigits\4_3.txt 1056 2015-05-10
trainingDigits\4_4.txt 1056 2015-05-10
trainingDigits\4_5.txt 1056 2015-05-10
trainingDigits\4_6.txt 1056 2015-05-10
trainingDigits\4_7.txt 1056 2015-05-10
trainingDigits\4_8.txt 1056 2015-05-10
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