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MBCbook (version 0.1.2)

Companion Package for the Book "Model-Based Clustering and Classification for Data Science"

Description

The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).

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Version

Install

install.packages('MBCbook')

Monthly Downloads

202

Version

0.1.2

License

GPL (>= 2)

Issues

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Repository

https://github.com/cbouveyron/MBCbook

Maintainer

Charles Bouveyron

Last Published

May 8th, 2024

Functions in MBCbook (0.1.2)

amazonFineFoods

The Amazon Fine Foods data set

The chemometrics near-infrared (NIR) data set

The political blog data set

The AIDSBlogs data set

The Coworker data set from Lazega (2001)

The US congress vote data set

The Advice data set from Lazega (2001)

A variable selection algorithm for clustering

Transform an image into a collection of patches

Robust (quadratic) discriminant analysis

Display an image

Denoising of image patches

reconstructImage

Reconstructing an image from a patch decomposition

Semi-supervised clustering with must-link constraints

The Friend data set from Lazega (2001)

The discrete version (count data) of the Vélib data set

The handwritten digits usps358 data set

The puffin data set

The Credit data set

MBCbook-package

tools:::Rd_package_title("MBCbook")

The (27-dimensional) Italian Wine data set

The bivariate Vélib data set