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

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

## Documentation for package ‘MBCbook’ version 0.1.2

- DESCRIPTION file

## Help Pages

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