ClustBlock-package {ClustBlock}R Documentation

Clustering of Datasets

Description

Hierarchical and partitioning algorithms of blocks of variables.The CLUSTATIS method and the CLUSCATA method are the core of this package

Details

Package: ClustBlock
Type: Package
Version: 2.2.0
First version Date: 2019-11-29
Last version Date: 2020-04-23

Author(s)

Fabien Llobell, Evelyne Vigneau, Veronique Cariou, El Mostafa Qannari

Maintainer: fabien.llobell@oniris-nantes.fr

References

Llobell, F., Cariou, V., Vigneau, E., Labenne, A., & Qannari, E. M. (2020). Analysis and clustering of multiblock datasets by means of the STATIS and CLUSTATIS methods. Application to sensometrics. Food Quality and Preference, 79, 103520.
Llobell, F., Vigneau, E., & Qannari, E. M. (2019). Clustering datasets by means of CLUSTATIS with identification of atypical datasets. Application to sensometrics. Food Quality and Preference, 75, 97-104.
Llobell, F., Cariou, V., Vigneau, E., Labenne, A., & Qannari, E. M. (2019). A new approach for the analysis of data and the clustering of subjects in a CATA experiment. Food quality and preference, 72, 31-39.
Llobell, F., Giacalone, D., Labenne, A., & Qannari, E. M. (2019). Assessment of the agreement and cluster analysis of the respondents in a CATA experiment. Food Quality and Preference, 77, 184-190.

[Package ClustBlock version 2.3.1 Index]