The Complete SPRLIB & ANNLIB

weight_vector: - compute the Fisher discriminant vector

SYNOPSIS

int weight_vector

(Ka, Kb, Ma, Mb, n, W)

ARGUMENTS

`double`	`Ka`**	Covariance matrix for class A, a `matrix` of size `[1..n][1..n]`.
`double`	`Ka`**	Covariance matrix for class B, a `matrix` of size `[1..n][1..n]`.
`double`	*`Ma`**	Mean vector for class A, a `vector` of size `[1..n]`.
`double`	*`Mb`**	Mean vector for class B, a `vector` of size `[1..n]`.
`int`	`n`	The dimensionality of the patterns.
`double`	`W`**	The discriminant (hyper)plane, a `matrix` of size `[1..n][1..n]`.

RETURNS

If no error occurs the function returns FALSE and the variable W contains a valid representation for the hyperplane. In case of an error the function returns TRUE.

FUNCTION

The function computes a normalized Fisher discriminant (hyper)plane given the covariances and means of both class A and class B.

NOTE

The matrices Ka and Kb are in matrix format and Ma ,W and Mb are in vector format.

The Complete SPRLIB & ANNLIB

`weight_vector`

- compute the Fisher discriminant vector

SYNOPSIS

ARGUMENTS

RETURNS

FUNCTION

NOTE

SEE ALSO