RPEClust

Random Projection Ensemble Clustering Algorithm

Implements the methodology proposed by Anderlucci, Fortunato and Montanari (2019) <arXiv:1909.10832> for high-dimensional unsupervised classification. The random projection ensemble clustering algorithm applies a Gaussian Mixture Model to different random projections of the high-dimensional data and selects a subset of solutions accordingly to the Bayesian Information Criterion, computed here as discussed in Raftery and Dean (2006) <doi:10.1198/016214506000000113>. The clustering results obtained on the selected projections are then aggregated via consensus to derive the final partition.

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Description file content

Package
RPEClust
Title
Random Projection Ensemble Clustering Algorithm
Version
0.1.0
Date
2019-11-05
Author
L. Anderlucci [aut], F. Fortunato [aut, cre], A. Montanari [ctb]
Maintainer
Francesca Fortunato
Depends
R (>= 3.6.0), clusteval
Imports
mclust, clue
Description
Implements the methodology proposed by Anderlucci, Fortunato and Montanari (2019) for high-dimensional unsupervised classification. The random projection ensemble clustering algorithm applies a Gaussian Mixture Model to different random projections of the high-dimensional data and selects a subset of solutions accordingly to the Bayesian Information Criterion, computed here as discussed in Raftery and Dean (2006) . The clustering results obtained on the selected projections are then aggregated via consensus to derive the final partition.
URL
License
GPL-3
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
no
Repository
CRAN
Packaged
2019-11-05 16:36:41 UTC; francesca.fortunato3
Date/Publication
2019-11-06 12:50:05 UTC

install.packages('RPEClust')

0.1.0

9 days ago

https://arxiv.org/abs/1909.10832

Francesca Fortunato

GPL-3

Depends on

R (>= 3.6.0), clusteval

Imports

mclust, clue

Discussions