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

Documentation for package ‘MBCbook’ version 0.1.2

MBCbook-package	Companion Package for the Book "Model-Based Clustering and Classification for Data Science"
Advice	The Advice data set from Lazega (2001)
AIDSBlogs	The AIDSBlogs data set
amazonFineFoods	The Amazon Fine Foods data set
constrEM	Semi-supervised clustering with must-link constraints
Coworker	The Coworker data set from Lazega (2001)
credit	The Credit data set
denoisePatches	Denoising of image patches
Friend	The Friend data set from Lazega (2001)
imageToPatch	Transform an image into a collection of patches
imshow	Display an image
MBCbook	Companion Package for the Book "Model-Based Clustering and Classification for Data Science"
NIR	The chemometrics near-infrared (NIR) data set
PoliticalBlogs	The political blog data set
puffin	The puffin data set
reconstructImage	Reconstructing an image from a patch decomposition
rqda	Robust (quadratic) discriminant analysis
UScongress	The US congress vote data set
usps358	The handwritten digits usps358 data set
varSelEM	A variable selection algorithm for clustering
velib2D	The bivariate Vélib data set
velibCount	The discrete version (count data) of the Vélib data set
wine27	The (27-dimensional) Italian Wine data set