/external/opencv3/samples/python2/ |
H A D | kmeans.py | 6 kmeans.py 35 ret, labels, centers = cv2.kmeans(points, cluster_n, None, term_crit, 10, 0)
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/external/opencv3/modules/flann/include/opencv2/flann/ |
H A D | flann_base.hpp | 182 * \returns The index type (kdtree, kmeans,...) 282 KMeansIndex<Distance> kmeans(points, params, d); 283 kmeans.buildIndex(); 285 int clusterNum = kmeans.getClusterCenters(centers);
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H A D | autotuned_index.h | 231 KMeansIndex<Distance> kmeans(sampledDataset_, cost.params, distance_); 234 kmeans.buildIndex(); 239 float searchTime = test_index_precision(kmeans, sampledDataset_, testDataset_, gt_matches_, target_precision_, checks, distance_, nn); 242 cost.memoryCost = (kmeans.usedMemory() + datasetMemory) / datasetMemory; 326 // explore kmeans parameters space using combinations of the parameters below 333 // evaluate kmeans for all parameter combinations 519 KMeansIndex<Distance>* kmeans = (KMeansIndex<Distance>*)bestIndex_; local 524 kmeans->set_cb_index(cb_index); 525 searchTime = test_index_precision(*kmeans, dataset_, testDataset, gt_matches, target_precision_, checks, distance_, nn, 1); 536 kmeans [all...] |
/external/opencv3/modules/core/perf/ |
H A D | perf_math.cpp | 28 PERF_TEST_P( MaxDim_MaxPoints, kmeans, 55 kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
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/external/opencv3/samples/cpp/ |
H A D | kmeans.cpp | 11 // cout << "\nThis program demonstrates kmeans clustering.\n" 13 // "centers and uses kmeans to move those cluster centers to their representitive location\n" 15 // "./kmeans\n" << endl; 56 kmeans(points, clusterCount, labels,
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/external/opencv3/modules/features2d/src/ |
H A D | bagofwords.cpp | 114 kmeans( _descriptors, clusterCount, labels, termcrit, attempts, flags, vocabulary );
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/external/opencv3/modules/ml/test/ |
H A D | test_emknearestkmeans.cpp | 244 kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_PP_CENTERS, noArray() ); 257 kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_RANDOM_CENTERS, noArray() ); 274 kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_USE_INITIAL_LABELS, noArray() );
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/external/opencv3/modules/core/src/ |
H A D | kmeans.cpp | 46 ////////////////////////////////////////// kmeans //////////////////////////////////////////// 217 double cv::kmeans( InputArray _data, int K, function in class:cv
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H A D | matrix.cpp | 4242 double compactness = cv::kmeans(data, cluster_count, labels, termcrit, attempts,
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/external/opencv3/modules/imgproc/src/ |
H A D | grabcut.cpp | 359 Initialize GMM background and foreground models using kmeans algorithm. 381 kmeans( _bgdSamples, GMM::componentsCount, bgdLabels, 384 kmeans( _fgdSamples, GMM::componentsCount, fgdLabels,
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/external/opencv/ml/src/ |
H A D | mlem.cpp | 520 kmeans( train_data, nclusters, labels, cvTermCriteria( CV_TERMCRIT_ITER, 573 void CvEM::kmeans( const CvVectors& train_data, int nclusters, CvMat* labels, function in class:CvEM 580 CV_FUNCNAME( "CvEM::kmeans" );
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/external/opencv3/modules/java/src/ |
H A D | core+Core.java | 328 // C++: double kmeans(Mat data, int K, Mat& bestLabels, TermCriteria criteria, int attempts, int flags, Mat& centers = Mat()) 331 //javadoc: kmeans(data, K, bestLabels, criteria, attempts, flags, centers) 332 public static double kmeans(Mat data, int K, Mat bestLabels, TermCriteria criteria, int attempts, int flags, Mat centers) method in class:Core 340 //javadoc: kmeans(data, K, bestLabels, criteria, attempts, flags) 341 public static double kmeans(Mat data, int K, Mat bestLabels, TermCriteria criteria, int attempts, int flags) method in class:Core 2209 // C++: double kmeans(Mat data, int K, Mat& bestLabels, TermCriteria criteria, int attempts, int flags, Mat& centers = Mat())
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H A D | core.cpp | 298 // double kmeans(Mat data, int K, Mat& bestLabels, TermCriteria criteria, int attempts, int flags, Mat& centers = Mat()) 313 double _retval_ = cv::kmeans( data, (int)K, bestLabels, criteria, (int)attempts, (int)flags, centers ); 336 double _retval_ = cv::kmeans( data, (int)K, bestLabels, criteria, (int)attempts, (int)flags );
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/external/opencv3/modules/core/include/opencv2/ |
H A D | core.hpp | 193 /** Use kmeans++ center initialization by Arthur and Vassilvitskii [Arthur2007].*/ 2797 /** @example kmeans.cpp 2803 The function kmeans implements a k-means algorithm that finds the centers of cluster_count clusters 2809 opencv_source_code/samples/python2/kmeans.py 2834 CV_EXPORTS_W double kmeans( InputArray data, int K, InputOutputArray bestLabels,
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/external/opencv3/modules/ml/src/ |
H A D | em.cpp | 400 // Convert samples and means to 32F, because kmeans requires this type. 415 kmeans(trainSamplesFlt, nclusters, labels,
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/external/opencv3/modules/core/misc/java/test/ |
H A D | CoreTest.java | 807 Core.kmeans(data, 2, labels, criteria, 1, Core.KMEANS_PP_CENTERS); 833 Core.kmeans(data, 2, labels, criteria, 6, Core.KMEANS_RANDOM_CENTERS, centers);
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/external/opencv/ml/include/ |
H A D | ml.h | 622 virtual void kmeans( const CvVectors& train_data, int nclusters,
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/external/opencv3/ |
H A D | Android.mk | 59 modules/core/src/kmeans.cpp \
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/external/opencv3/modules/core/test/ |
H A D | test_math.cpp | 2672 kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0), 2717 kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
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/external/opencv3/modules/calib3d/src/ |
H A D | circlesgrid.cpp | 1094 kmeans(Mat(samples).reshape(1, 0), clustersCount, bestLabels, termCriteria, parameters.kmeansAttempts,
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