computeGMMClassification: computeGMMClassification

In Mthrun/AdaptGauss2D: Gaussian Mixture Modeling in 2D

computeGMMClassification

Description

Transforms two numbers (variances of independent directions) and an angle to an ellipsoid matrix.

Usage

computeGMMClassification(Data, Means, Covariances, Weights)

Arguments

Data	[1:n, 1:2] Numeric matrix with n observations and 2 feature dimensions.
Means	List of l two-dimensional numeric vectors carrying mean vector.
Covariances	List of l 2x2 numeric matrices carrying covariance matrices.
Weights	[1:l] Numeric vector with l weights for l Gaussian Mixture Model components.

Value

MainAxes

[1:3] Numeric vector

Author(s)

Quirin Stier

Mthrun/AdaptGauss2D documentation built on July 19, 2022, 3:11 a.m.