Searched refs:kmeans (Results 1 - 20 of 20) sorted by relevance

/external/opencv3/samples/python2/
H A Dkmeans.py6 kmeans.py
35 ret, labels, centers = cv2.kmeans(points, cluster_n, None, term_crit, 10, 0)
/external/opencv3/modules/flann/include/opencv2/flann/
H A Dflann_base.hpp182 * \returns The index type (kdtree, kmeans,...)
282 KMeansIndex<Distance> kmeans(points, params, d);
283 kmeans.buildIndex();
285 int clusterNum = kmeans.getClusterCenters(centers);
H A Dautotuned_index.h231 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
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/external/opencv3/modules/core/perf/
H A Dperf_math.cpp28 PERF_TEST_P( MaxDim_MaxPoints, kmeans,
55 kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
/external/opencv3/samples/cpp/
H A Dkmeans.cpp11 // 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,
/external/opencv3/modules/features2d/src/
H A Dbagofwords.cpp114 kmeans( _descriptors, clusterCount, labels, termcrit, attempts, flags, vocabulary );
/external/opencv3/modules/ml/test/
H A Dtest_emknearestkmeans.cpp244 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() );
/external/opencv3/modules/core/src/
H A Dkmeans.cpp46 ////////////////////////////////////////// kmeans ////////////////////////////////////////////
217 double cv::kmeans( InputArray _data, int K, function in class:cv
H A Dmatrix.cpp4242 double compactness = cv::kmeans(data, cluster_count, labels, termcrit, attempts,
/external/opencv3/modules/imgproc/src/
H A Dgrabcut.cpp359 Initialize GMM background and foreground models using kmeans algorithm.
381 kmeans( _bgdSamples, GMM::componentsCount, bgdLabels,
384 kmeans( _fgdSamples, GMM::componentsCount, fgdLabels,
/external/opencv/ml/src/
H A Dmlem.cpp520 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" );
/external/opencv3/modules/java/src/
H A Dcore+Core.java328 // 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())
H A Dcore.cpp298 // 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 );
/external/opencv3/modules/core/include/opencv2/
H A Dcore.hpp193 /** 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,
/external/opencv3/modules/ml/src/
H A Dem.cpp400 // Convert samples and means to 32F, because kmeans requires this type.
415 kmeans(trainSamplesFlt, nclusters, labels,
/external/opencv3/modules/core/misc/java/test/
H A DCoreTest.java807 Core.kmeans(data, 2, labels, criteria, 1, Core.KMEANS_PP_CENTERS);
833 Core.kmeans(data, 2, labels, criteria, 6, Core.KMEANS_RANDOM_CENTERS, centers);
/external/opencv/ml/include/
H A Dml.h622 virtual void kmeans( const CvVectors& train_data, int nclusters,
/external/opencv3/
H A DAndroid.mk59 modules/core/src/kmeans.cpp \
/external/opencv3/modules/core/test/
H A Dtest_math.cpp2672 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),
/external/opencv3/modules/calib3d/src/
H A Dcirclesgrid.cpp1094 kmeans(Mat(samples).reshape(1, 0), clustersCount, bestLabels, termCriteria, parameters.kmeansAttempts,

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