CrossClustering: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters and Identification of Outliers

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Computes 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.

Author
Paola Tellaroli, Michele Donato
Date of publication
2016-03-29 13:34:21
Maintainer
Paola Tellaroli <paola.tellaroli@unipd.it>
License
GPL (>= 3)
Version
3.0
URLs

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Man pages

CrossClustering
A partial clustering algorithm with automatic estimation of...
geneinlista
geneinlista
proportion.function
proportion.function

Files in this package

CrossClustering
CrossClustering/inst
CrossClustering/inst/CITATION
CrossClustering/NAMESPACE
CrossClustering/R
CrossClustering/R/proportion.function.R
CrossClustering/R/CrossClustering.R
CrossClustering/R/CrossClustering-internal.R
CrossClustering/R/geneinlista.R
CrossClustering/MD5
CrossClustering/DESCRIPTION
CrossClustering/man
CrossClustering/man/CrossClustering.Rd
CrossClustering/man/proportion.function.Rd
CrossClustering/man/geneinlista.Rd