distrib_diff_gmm {outlierMBC} | R Documentation |
Compute the dissimilarity for a Gaussian mixture model and identify the lowest density observation.
Description
At each iteration of ombc_gmm, distrib_diff_gmm
computes the
dissimilarity value of the current Gaussian mixture model. It also
identifies the observation with the lowest mixture density.
Usage
distrib_diff_gmm(x, z, prop, mu, sigma, logdet)
Arguments
x |
Data. |
z |
Component assignment probability matrix. |
prop |
Vector of component proportions. |
mu |
List of component mean vectors. |
sigma |
List of component covariance matrices. |
logdet |
Vector of log-determinants for covariance matrices. |
Value
distrib_diff_gmm
returns a list with the following elements:
distrib_diff
Aggregated dissimilarity across components.
distrib_diff_vec
Vector containing dissimilarity value for each component.
choice_id
Index of observation with lowest mixture density.
removal_dens
Value of the lowest mixture density.
[Package outlierMBC version 0.0.1 Index]