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The type of the mixture covariation matrices

Namespace: Emgu.CV.ML.MlEnum
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.10.1935 (2.4.10.1935)

Syntax

C#
public enum EM_COVARIAN_MATRIX_TYPE
Visual Basic
Public Enumeration EM_COVARIAN_MATRIX_TYPE
Visual C++
public enum class EM_COVARIAN_MATRIX_TYPE
F#
type EM_COVARIAN_MATRIX_TYPE

Members

Member nameValueDescription
COV_MAT_SPHERICAL0 A covariation matrix of each mixture is a scaled identity matrix, ?k*I, so the only parameter to be estimated is ?k. The option may be used in special cases, when the constraint is relevant, or as a first step in the optimization (e.g. 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 cov_mat_type=COV_MAT_DIAGONAL
COV_MAT_DIAGONAL1 A covariation matrix of each mixture may be arbitrary diagonal matrix with positive diagonal elements, that is, non-diagonal elements are forced to be 0's, so the number of free parameters is d for each matrix. This is most commonly used option yielding good estimation results
COV_MAT_GENERIC2 A covariation matrix of each mixture may be arbitrary symmetrical positively defined matrix, so the number of free parameters in each matrix is about d2/2. 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

See Also