核密度估计(KDE)的工具箱我要分享

The toolbox of kernel density estimation

核密度估计 KDE 核密度估计KDE

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文件大小: 1903KB

代码分类: 其他

开发平台: matlab

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代码描述

中文说明:

核密度估计(kde)的工具箱,来源于 Copyright (C) 2003 Alexander Ihler。


English Description:

The KDE class is a general matlab class for k-dimensional kernel density estimation. It is written in a mix of matlab ".m" files and MEX/C++ code. Thus, to use it you will need to be able to compile C++ code for Matlab. Note that the default compiler for Windows does not support C++, so you will need GCC under Linux, or GCC or Visual C++ for Windows. Bloodshed supplies a nice development environment along with the MinGW compiler. See this page for help setting up MEX with MinGW.


代码预览

@kde\adjustBW.dll

@kde\adjustBW.m

@kde\adjustBW.mexa64

@kde\adjustBW.mexglx

@kde\adjustPoints.dll

@kde\adjustPoints.m

@kde\adjustPoints.mexa64

@kde\adjustPoints.mexglx

@kde\adjustWeights.dll

@kde\adjustWeights.m

@kde\adjustWeights.mexa64

@kde\adjustWeights.mexglx

@kde\condition.m

@kde\Contents.m

@kde\covar.m

@kde\display.m

@kde\double.m

@kde\encode.m

@kde\entropy.m

@kde\entropyGrad.m

@kde\evalAvgLogL.m

@kde\evalFGT.m

@kde\evalIFGT.m

@kde\evaluate.m

@kde\examples\demo_kde_1.m

@kde\examples\demo_kde_2.m

@kde\examples\demo_kde_3.m

@kde\examples\demo_regress.m

@kde\findBWCrit.m

@kde\getBW.m

@kde\getDim.m

@kde\getNeff.m

@kde\getNpts.m

@kde\getPoints.m

@kde\getType.m

@kde\getWeights.m

@kde\gram.m

@kde\hist.m

@kde\ise.m

@kde\joinTrees.m

@kde\kde.m

@kde\kld.m

@kde\klGrad.m

@kde\knn.dll

@kde\knn.m

@kde\knn.mexa64

@kde\knn.mexglx

@kde\ksize.m

@kde\license.gpl

@kde\llGrad.dll

@kde\llGrad.m

@kde\llGrad.mexa64

@kde\llGrad.mexglx

@kde\llHess.m

@kde\marginal.m

@kde\max.m

@kde\maxlogerr.m

@kde\mean.m

@kde\mex\adjustBW.cpp

@kde\mex\adjustPoints.cpp

@kde\mex\adjustWeights.cpp

@kde\mex\BallTree.cpp

@kde\mex\BallTreeDensity.cpp

@kde\mex\cpp\BallTree.h

@kde\mex\cpp\BallTreeClass.cc

@kde\mex\cpp\BallTreeDensity.h

@kde\mex\cpp\BallTreeDensityClass.cc

@kde\mex\cpp\kernels.h

@kde\mex\cpp\README.txt

@kde\mex\DualTree.cpp

@kde\mex\entropyGradISE.cpp

@kde\mex\entropyGradRS.cpp

@kde\mex\iseEpsilon.cpp

@kde\mex\klGradRS.cpp

@kde\mex\knn.cpp

@kde\mex\llGrad.cpp

@kde\mex\makemex.m

@kde\mex\maketmp.m

@kde\mex\prodSampleEpsilon.cpp

@kde\mex\prodSampleExact.cpp

@kde\mex\prodSampleGibbs.cpp

@kde\mex\prodSampleGibbs1.cpp

@kde\mex\prodSampleGibbs2.cpp

@kde\mex\prodSampleGibbsMS.cpp

@kde\mex\prodSampleGibbsMS1.cpp

@kde\mex\prodSampleGibbsMS2.cpp

@kde\mex\reduceSolve.cpp

@kde\miGrad.m

@kde\modes.m

@kde\plot.m

@kde\private\BallTree.dll

@kde\private\BallTree.mexa64

@kde\private\BallTree.mexglx

@kde\private\BallTreeDensity.dll

@kde\private\BallTreeDensity.mexa64

@kde\private\BallTreeDensity.mexglx

@kde\private\DualTree.dll

@kde\private\DualTree.m

@kde\private\DualTree.mexa64

@kde\private\DualTree.mexglx