303     Mat trainData( pointsCount, 2, CV_32FC1 ), trainLabels;  in run()  local
308     generateData( trainData, trainLabels, sizes, means, covs, CV_32FC1, CV_32FC1 );  in run()
318     knearest->train(trainData, ml::ROW_SAMPLE, trainLabels);  in run()
335     knearestKdt->train(trainData, ml::ROW_SAMPLE, trainLabels);  in run()
383                   const cv::Mat& trainData, const cv::Mat& trainLabels,
389                         const cv::Mat& trainData, const cv::Mat& trainLabels,  in runCase()  argument
403         em->trainEM( trainData, noArray(), labels, noArray() );  in runCase()
405         em->trainE( trainData, *params.means, *params.covs,  in runCase()
408         em->trainM( trainData, *params.probs,  in runCase()
456     Mat trainData( pointsCount, 2, CV_64FC1 ), trainLabels;  in run()  local
458     generateData( trainData, trainLabels, sizes, means, covs, CV_64FC1, CV_32SC1 );  in run()
466     Mat probs(trainData.rows, params.nclusters, CV_64FC1, cv::Scalar(1));  in run()
478 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
484 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
490 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
496 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
502 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
508 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
514 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
520 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()
526 …  int currCode = runCase(caseIndex++, params, trainData, trainLabels, testData, testLabels, sizes);  in run()