Clustering of bounded data via transformation-based approach for Gaussian mixtures.
MclustBounded(data, ...)# S3 method for MclustBounded
summary(object, classification = TRUE, parameters = FALSE, ...)
Returns an object of class 'MclustBounded'.
A numeric vector, matrix, or data frame of observations. If a matrix or data frame, rows correspond to observations and columns correspond to variables.
Further arguments passed to densityMclustBounded(). For a full
description of available arguments see the corresponding help page.
An object of class 'MclustBounded'.
A logical, if TRUE a table of MAP
classification/clustering of observations is printed.
A logical, if TRUE the estimated parameters of mixture
components are printed.
Luca Scrucca
For more details see
vignette("mclustAddons")
Scrucca L. (2024) A model-based clustering approach for bounded data using transformation-based Gaussian mixture models. Under review. arXiv pre-print available at http://arxiv.org/abs/2412.13572
densityMclustBounded(), predict.MclustBounded(), plot.MclustBounded().