CrossClustering: A Partial Clustering Algorithm

Provide the 'CrossClustering' algorithm (Tellaroli et al. (2016) doi:10.1371/journal.pone.0152333 ), which is a partial clustering algorithm that combines the Ward's minimum variance and Complete Linkage algorithms, providing automatic estimation of a suitable number of clusters and identification of outlier elements.

See also

Useful links:

• https://CRAN.R-project.org/package=CrossClustering

• Report bugs at https://github.com/CorradoLanera/CrossClustering/issues

Author

Maintainer: Paola Tellaroli paola.tellaroli@gmail.com

Authors:

• Marco Bazzi bazzi@stat.unipd.it

• Michele Donato mdonato@stanford.edu

• Livio Finos livio.finos@unipd.it

• Philippe Courcoux philippe.courcoux@oniris-nantes.fr

• Corrado Lanera corrado.lanera@unipd.it