Introduction - If you have any usage issues, please Google them yourself
Parzen window and K-nearest neighbor method probability density is estimated to bring an oscilloscope control.
Packet : 453763parzen_knn.rar filelist
Parzen_KNN
Parzen_KNN\random.dsp
Parzen_KNN\random.clw
Parzen_KNN\random.cpp
Parzen_KNN\random.opt
Parzen_KNN\random.dsw
Parzen_KNN\random.h
Parzen_KNN\res
Parzen_KNN\res\random.rc2
Parzen_KNN\res\random.ico
Parzen_KNN\res\title.bmp
Parzen_KNN\res\Track.bmp
Parzen_KNN\random.rc
Parzen_KNN\KNear.cpp
Parzen_KNN\ReadMe.txt
Parzen_KNN\Resource.h
Parzen_KNN\ScanScope.cpp
Parzen_KNN\ScanScope.h
Parzen_KNN\Scope.cpp
Parzen_KNN\Scope.h
Parzen_KNN\StdAfx.cpp
Parzen_KNN\StdAfx.h
Parzen_KNN\random.aps
Parzen_KNN\random.ncb
Parzen_KNN\random.plg
Parzen_KNN\randomDlg.cpp
Parzen_KNN\Estimate.h
Parzen_KNN\Estimate.cpp
Parzen_KNN\KNear.h
Parzen_KNN\ParzenWnd.cpp
Parzen_KNN\ParzenWnd.h
Parzen_KNN\randomDlg.h