EMCovarianMatrixType Class

Compares this instance to a specified object and returns an indication of their relative values.

Returns a value indicating whether this instance is equal to a specified object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Returns the hash code for the value of this instance.

Gets the Type of the current instance.

Returns the type code of the underlying type of this enumeration member.

Determines whether one or more bit fields are set in the current instance.

Creates a shallow copy of the current Object.

Converts the value of this instance to its equivalent string representation.

This method overload is obsolete; use ToString.

Converts the value of this instance to its equivalent string representation using the specified format.

This method overload is obsolete; use ToString(String).

The default

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

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

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