| /external/opencv/ml/src/ |
| H A D | mlem.cpp | 47 * params.nclusters - number of clusters to cluster samples to.
106 for( i = 0; i < params.nclusters; i++ )
151 if( params.nclusters < 1 )
161 p->cols != params.nclusters )
163 "floating-point matrix (CvMat) of 'nsamples' x 'nclusters' size" );
172 m->rows != params.nclusters ||
185 w->rows + w->cols - 1 != params.nclusters )
187 "1d floating-point vector (CvMat) of 'nclusters' elements" );
191 for( k = 0; k < params.nclusters; k++ )
220 int nclusters; local
317 int i, nsamples, nclusters, dims; local
406 int nclusters = params.nclusters, nsamples = train_data.count, dims = train_data.dims; local
494 int nclusters = params.nclusters, nsamples = train_data.count, dims = train_data.dims; local
573 kmeans( const CvVectors& train_data, int nclusters, CvMat* labels, CvTermCriteria termcrit, const CvMat* centers0 ) argument
789 int nsamples = train_data.count, dims = train_data.dims, nclusters = params.nclusters; local
[all...] |
| H A D | ml_inner_functions.cpp | 1896 int nclusters, nsamples; local
1903 nclusters = probs->cols;
1907 CV_CALL( counts = cvCreateMat( 1, nclusters + 1, CV_32SC1 ) );
1912 nclusters, r, outlier_thresh, 1 );
1917 for( j = 0; j < nclusters; j++ ) // outliers are ignored
|
| /external/opencv3/modules/ml/src/ |
| H A D | em.cpp | 55 int nclusters; member in class:cv::ml::EMImpl
63 nclusters = val;
64 CV_Assert(nclusters > 1);
69 return nclusters;
87 nclusters = DEFAULT_NCLUSTERS;
172 _outputs.create(samples.rows, nclusters, ptype);
208 _probs.create(1, nclusters, ptype);
236 int nclusters, int covMatType, const Mat* probs, const Mat* means,
247 CV_Assert(nclusters > 0);
248 CV_Assert(nclusters <
235 checkTrainData(int startStep, const Mat& samples, int nclusters, int covMatType, const Mat* probs, const Mat* means, const std::vector<Mat>* covs, const Mat* weights) argument
762 fs << "nclusters" << nclusters; local
[all...] |
| /external/opencv3/modules/ml/test/ |
| H A D | test_emknearestkmeans.cpp | 139 size_t total = 0, nclusters = sizes.size(); local
149 labelsMap.resize(nclusters);
151 vector<bool> buzy(nclusters, false);
155 vector<int> count( nclusters, 0 );
159 CV_Assert(lbl < (int)nclusters);
358 : nclusters(_nclusters), covMatType(_covMatType), startStep(_startStep),
362 int nclusters; member in class:EM_Params
399 em->setClustersNumber(params.nclusters);
465 params.nclusters = 3;
466 Mat probs(trainData.rows, params.nclusters, CV_64FC
540 const int nclusters = 2; local
[all...] |
| /external/opencv/ml/include/ |
| H A D | ml.h | 561 CvEMParams() : nclusters(10), cov_mat_type(1/*CvEM::COV_MAT_DIAGONAL*/),
571 nclusters(_nclusters), cov_mat_type(_cov_mat_type), start_step(_start_step),
575 int nclusters; member in struct:CvEMParams
622 virtual void kmeans( const CvVectors& train_data, int nclusters,
|
| /external/opencv3/apps/traincascade/ |
| H A D | old_ml_inner_functions.cpp | 1822 int nclusters, nsamples; local
1829 nclusters = probs->cols;
1833 CV_CALL( counts = cvCreateMat( 1, nclusters + 1, CV_32SC1 ) );
1838 nclusters, r, outlier_thresh, 1 );
1843 for( j = 0; j < nclusters; j++ ) // outliers are ignored
|