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Machine Learning
enum cv::ml::ErrorTypes
enum cv::ml::SampleTypes
enum cv::ml::VariableTypes
class cv::ml::ANN_MLP
class cv::ml::Boost
class cv::ml::DTrees
class cv::ml::EM
class cv::ml::KNearest
enum cv::ml::KNearest::Types
Overview
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class cv::ml::LogisticRegression
class cv::ml::NormalBayesClassifier
class cv::ml::ParamGrid
class cv::ml::RTrees
class cv::ml::SVM
class cv::ml::SVMSGD
class cv::ml::StatModel
class cv::ml::TrainData
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Object Detection
Shape Distance and Matching
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CUDA Module Introduction
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Video I/O with OpenCV Overview
contours2.cpp
convexhull.cpp
cout_mat.cpp
demhist.cpp
distrans.cpp
edge.cpp
ffilldemo.cpp
filestorage.cpp
fitellipse.cpp
grabcut.cpp
houghcircles.cpp
houghlines.cpp
kmeans.cpp
laplace.cpp
lsd_lines.cpp
minarea.cpp
morphology2.cpp
pca.cpp
polar_transforms.cpp
segment_objects.cpp
watershed.cpp
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OpenCV Documentation
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Machine Learning
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class cv::ml::KNearest
»
enum cv::ml::KNearest::Types
enum cv::ml::KNearest::Types
Implementations of
KNearest
algorithm.
#include
<ml.hpp>
enum
Types
{
BRUTE_FORCE
=
1
,
KDTREE
=
2
,
};