79             CvEMParams params, CvMat* labels )  in CvEM()  argument
85     train(samples, sample_idx, params, labels);  in CvEM()
304                   CvEMParams _params, CvMat* labels )  in train()  argument
332     if( labels && (!CV_IS_MAT(labels) || CV_MAT_TYPE(labels->type) != CV_32SC1 ||  in train()
333         labels->cols != 1 && labels->rows != 1 || labels->cols + labels->rows - 1 != nsamples ))  in train()
362     if( labels )  in train()
365             cvZero( labels );  in train()
370             int lstep = CV_IS_MAT_CONT(labels->type) ? 1 : labels->step/sizeof(int);  in train()
378                 labels->data.i[i*lstep] = cvRound(predict(&sample, &prob));  in train()
488     CvMat* labels = 0;  in init_auto()  local
519             CV_CALL( labels = cvCreateMat( 1, nsamples, CV_32SC1 ));  in init_auto()
520             kmeans( train_data, nclusters, labels, cvTermCriteria( CV_TERMCRIT_ITER,  in init_auto()
523                                             labels, class_ranges->data.i ));  in init_auto()
567     cvReleaseMat( &labels );  in init_auto()
573 void CvEM::kmeans( const CvVectors& train_data, int nclusters, CvMat* labels,  in kmeans()  argument
607             labels->data.i[i] = i*nclusters/nsamples;  in kmeans()
608         cvRandShuffle( labels, &rng );  in kmeans()
651                 labels->data.i[i] = k_best;  in kmeans()
666             k = labels->data.i[i];  in kmeans()
706                     if( counters->data.i[labels->data.i[i]] > 1 )  in kmeans()
734         counters->data.i[labels->data.i[i]]++;  in kmeans()
742                 j = labels->data.i[i];  in kmeans()
745                     labels->data.i[i] = k;  in kmeans()