ml_EM_Types
import { ml_EM_Types } from '@banou/opencv-wasm'Use after await initOpenCV(). See the initialization and named imports guide.
Native object: release it with using or delete(). Factories can return null; check before calling methods.
Type of covariation matrices
Constructors and members
static COV_MAT_SPHERICAL
A scaled identity matrix \mu_k * I. There is the only
parameter \mu_k to be estimated for each matrix. The option may be used in special cases,
when the constraint is relevant, or as a first step in the optimization (for example in case
when the data is preprocessed with PCA). The results of such preliminary estimation may be
passed again to the optimization procedure, this time with
covMatType=EM::COV_MAT_DIAGONAL.
COV_MAT_SPHERICAL: ml_EM_TypesValue<0>,static COV_MAT_DIAGONAL
A symmetric positively defined matrix. The number of free
COV_MAT_DIAGONAL: ml_EM_TypesValue<1>,static COV_MAT_GENERIC
A symmetric positively defined matrix. The number of free
parameters in each matrix is about d^2/2. It is not recommended to use this option, unless
there is pretty accurate initial estimation of the parameters and/or a huge number of
training samples.
COV_MAT_GENERIC: ml_EM_TypesValue<2>,static COV_MAT_DEFAULT
cov mat default constant (COV_MAT_DIAGONAL), defined by OpenCV for cv::ml::EM.
COV_MAT_DEFAULT: ml_EM_TypesValue<1>These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.