kmeans           1094 modules/calib3d/src/circlesgrid.cpp   kmeans(Mat(samples).reshape(1, 0), clustersCount, bestLabels, termCriteria, parameters.kmeansAttempts,
kmeans           2834 modules/core/include/opencv2/core.hpp CV_EXPORTS_W double kmeans( InputArray data, int K, InputOutputArray bestLabels,
kmeans            807 modules/core/misc/java/test/CoreTest.java         Core.kmeans(data, 2, labels, criteria, 1, Core.KMEANS_PP_CENTERS);
kmeans            833 modules/core/misc/java/test/CoreTest.java         Core.kmeans(data, 2, labels, criteria, 6, Core.KMEANS_RANDOM_CENTERS, centers);
kmeans             28 modules/core/perf/perf_math.cpp PERF_TEST_P( MaxDim_MaxPoints, kmeans,
kmeans             55 modules/core/perf/perf_math.cpp         kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
kmeans           4242 modules/core/src/matrix.cpp     double compactness = cv::kmeans(data, cluster_count, labels, termcrit, attempts,
kmeans           2672 modules/core/test/test_math.cpp                     kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
kmeans           2717 modules/core/test/test_math.cpp                     kmeans(data, K, labels, TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 30, 0),
kmeans            114 modules/features2d/src/bagofwords.cpp     kmeans( _descriptors, clusterCount, labels, termcrit, attempts, flags, vocabulary );
kmeans            231 modules/flann/include/opencv2/flann/autotuned_index.h         KMeansIndex<Distance> kmeans(sampledDataset_, cost.params, distance_);
kmeans            234 modules/flann/include/opencv2/flann/autotuned_index.h         kmeans.buildIndex();
kmeans            239 modules/flann/include/opencv2/flann/autotuned_index.h         float searchTime = test_index_precision(kmeans, sampledDataset_, testDataset_, gt_matches_, target_precision_, checks, distance_, nn);
kmeans            242 modules/flann/include/opencv2/flann/autotuned_index.h         cost.memoryCost = (kmeans.usedMemory() + datasetMemory) / datasetMemory;
kmeans            519 modules/flann/include/opencv2/flann/autotuned_index.h                 KMeansIndex<Distance>* kmeans = (KMeansIndex<Distance>*)bestIndex_;
kmeans            524 modules/flann/include/opencv2/flann/autotuned_index.h                     kmeans->set_cb_index(cb_index);
kmeans            525 modules/flann/include/opencv2/flann/autotuned_index.h                     searchTime = test_index_precision(*kmeans, dataset_, testDataset, gt_matches, target_precision_, checks, distance_, nn, 1);
kmeans            536 modules/flann/include/opencv2/flann/autotuned_index.h                 kmeans->set_cb_index(best_cb_index);
kmeans            282 modules/flann/include/opencv2/flann/flann_base.hpp     KMeansIndex<Distance> kmeans(points, params, d);
kmeans            283 modules/flann/include/opencv2/flann/flann_base.hpp     kmeans.buildIndex();
kmeans            285 modules/flann/include/opencv2/flann/flann_base.hpp     int clusterNum = kmeans.getClusterCenters(centers);
kmeans            381 modules/imgproc/src/grabcut.cpp     kmeans( _bgdSamples, GMM::componentsCount, bgdLabels,
kmeans            384 modules/imgproc/src/grabcut.cpp     kmeans( _fgdSamples, GMM::componentsCount, fgdLabels,
kmeans            415 modules/ml/src/em.cpp         kmeans(trainSamplesFlt, nclusters, labels,
kmeans            244 modules/ml/test/test_emknearestkmeans.cpp     kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_PP_CENTERS, noArray() );
kmeans            257 modules/ml/test/test_emknearestkmeans.cpp     kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_RANDOM_CENTERS, noArray() );
kmeans            274 modules/ml/test/test_emknearestkmeans.cpp     kmeans( data, 3, bestLabels, TermCriteria( TermCriteria::COUNT, iters, 0.0), 0, KMEANS_USE_INITIAL_LABELS, noArray() );
kmeans             56 samples/cpp/kmeans.cpp         kmeans(points, clusterCount, labels,