77 void generateData( Mat& data, Mat& labels, const vector<int>& sizes, const Mat& _means, const vecto…  in generateData()  argument
87     labels.create( data.rows, 1, labelType );  in generateData()
107                 labels.at<float>(p, 0) = (float)l;  in generateData()
109                 labels.at<int>(p, 0) = l;  in generateData()
137 bool getLabelsMap( const Mat& labels, const vector<int>& sizes, vector<int>& labelsMap, bool checkC…  in getLabelsMap()  argument
143     assert( !labels.empty() );  in getLabelsMap()
144     assert( labels.total() == total && (labels.cols == 1 || labels.rows == 1));  in getLabelsMap()
145     assert( labels.type() == CV_32SC1 || labels.type() == CV_32FC1 );  in getLabelsMap()
147     bool isFlt = labels.type() == CV_32FC1;  in getLabelsMap()
158             int lbl = isFlt ? (int)labels.at<float>(i) : labels.at<int>(i);  in getLabelsMap()
184 bool calcErr( const Mat& labels, const Mat& origLabels, const vector<int>& sizes, float& err, bool …  in calcErr()  argument
187     CV_Assert( !labels.empty() && !origLabels.empty() );  in calcErr()
188     CV_Assert( labels.rows == 1 || labels.cols == 1 );  in calcErr()
190     CV_Assert( labels.total() == origLabels.total() );  in calcErr()
191     CV_Assert( labels.type() == CV_32SC1 || labels.type() == CV_32FC1 );  in calcErr()
192     CV_Assert( origLabels.type() == labels.type() );  in calcErr()
195     bool isFlt = labels.type() == CV_32FC1;  in calcErr()
198         if( !getLabelsMap( labels, sizes, labelsMap, checkClusterUniq ) )  in calcErr()
201         for( int i = 0; i < labels.rows; i++ )  in calcErr()
203                 err += labels.at<float>(i) != labelsMap[(int)origLabels.at<float>(i)] ? 1.f : 0.f;  in calcErr()
205                 err += labels.at<int>(i) != labelsMap[origLabels.at<int>(i)] ? 1.f : 0.f;  in calcErr()
209         for( int i = 0; i < labels.rows; i++ )  in calcErr()
211                 err += labels.at<float>(i) != origLabels.at<float>(i) ? 1.f : 0.f;  in calcErr()
213                 err += labels.at<int>(i) != origLabels.at<int>(i) ? 1.f : 0.f;  in calcErr()
215     err /= (float)labels.rows;  in calcErr()
233     Mat data( pointsCount, 2, CV_32FC1 ), labels;  in run()  local
238     generateData( data, labels, sizes, means, covs, CV_32FC1, CV_32SC1 );  in run()
245     if( !calcErr( bestLabels, labels, sizes, err , false ) )  in run()
258     if( !calcErr( bestLabels, labels, sizes, err, false ) )  in run()
270     labels.copyTo( bestLabels );  in run()
275     if( !calcErr( bestLabels, labels, sizes, err, false ) )  in run()
395     cv::Mat labels;  in runCase()  local
403         em->trainEM( trainData, noArray(), labels, noArray() );  in runCase()
406                     *params.weights, noArray(), labels, noArray() );  in runCase()
409                     noArray(), labels, noArray() );  in runCase()
412     if( !calcErr( labels, trainLabels, sizes, err , false, false ) )  in runCase()
424     labels.create( testData.rows, 1, CV_32SC1 );  in runCase()
429         labels.at<int>(i) = static_cast<int>(em->predict2( sample, probs )[1]);  in runCase()
431     if( !calcErr( labels, testLabels, sizes, err, false, false ) )  in runCase()
547         Mat labels;  in run()  local
551         em->trainEM(samples, noArray(), labels, noArray());  in run()