Gaussian Model-Based Clustering with Outliers
Find Initial Gross Outliers
Minimum Mahalanobis Distance
Mixture of Beta Functions
The OCLUST Algorithm
Plots results of the oclust algorithm.
Print oclust
Prints the summary of key results for oclust class objects.
Simulate Outliers
Summarizes key results for oclust class objects.
Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2024) <doi:10.1007/s00357-024-09473-3>.