mix-class: Mixture Model Class

In MGMM: Missingness Aware Gaussian Mixture Models

Mixture Model Class

Description

Defines a class to hold Gaussian Mixture Models.

Slots

Assignments

Maximum a posteriori assignments.

Completed

Completed data, with missing values imputed to their posterior expectations.

Components

Number of components.

Covariances

List of fitted cluster covariance matrices.

Data

Original data, with missing values present.

Density

Density of each component at each example.

Means

List of fitted cluster means.

Objective

Final value of the EM objective.

Proportions

Fitted cluster proportions.

Responsibilities

Posterior membership probabilities for each example.

MGMM documentation built on Sept. 30, 2023, 5:06 p.m.