Description: k-nn classification algorithm, pattern recognition operations are classified into three types, 75 training sets, 25 test set, the output of the test set classification results
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- [bp] - I write with bp network digital identifi
- [knn] - knn k nearest neighbor, Euclidean distan
- [classification] - The package to achieve a number of commo
- [AdaboostBasedFaceRecognitionSystem] - Adaboost-based face recognition system s
- [knn] - k-nearest neighbour algorithm,it is a cl
- [SVMthreeMATLAB] - Realizing the SVM classification, three
- [EM-Algorithm] - EM algorithm, EM algorithm is a very imp
File list (Check if you may need any files):
knn
...\Debug
...\.....\knn.exe
...\.....\knn.ilk
...\.....\knn.pdb
...\.....\out.txt
...\.....\test.txt
...\.....\training.txt
...\knn
...\...\Debug
...\...\.....\BuildLog.htm
...\...\.....\knn.exe.intermediate.manifest
...\...\.....\KNN.obj
...\...\.....\kNN_procedure.obj
...\...\.....\kNN_workspace.obj
...\...\.....\main.obj
...\...\.....\mt.dep
...\...\.....\vc90.idb
...\...\.....\vc90.pdb
...\...\KNN.cpp
...\...\KNN.h
...\...\knn.vcproj
...\...\knn.vcproj.B4B57A676F8D49C.Chengliu.user
...\...\main.cpp
...\...\out.txt
...\...\test.txt
...\...\training.txt
...\knn.ncb
...\knn.sln
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