computeRMS: computeRMS
In Mthrun/AdaptGauss2D: Gaussian Mixture Modeling in 2D

computeRMS

R Documentation

computeRMS

computeRMS

computeRMS(Data, Means, Covariances, Weights, EmpiricDataPDE)

`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.
`EmpiricDataPDE`	[1:n] Numeric vector with density estimation of Data defined for each datapoint within the Data.

`Mu`	List of l two-dimensional numeric vectors carrying mean vector.
`Sigma`	List of l 2x2 numeric matrices carrying covariance matrices.
`Lambda`	[1:l] Numeric vector with l weights for l Gaussian Mixture Model components.
`MainAxesAngle`	List of length l with numeric vectors [1:3] with main axes and the angle between the first dimension of a 2D cartesian coordinate system the first main ax for all Gaussian Mixture Model components.