HDclust

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <http://jmlr.org/papers/v18/16-342.html>.

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Description file content

Package
HDclust
Type
Package
Title
Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks
Version
1.0.3
Date
2019-04-05
Description
Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) .
License
GPL (>= 2)
Imports
Rcpp (>= 0.12.16), RcppProgress (>= 0.1), Rtsne (>= 0.11.0)
Depends
methods
LinkingTo
Rcpp, RcppProgress
Collate
'AllClass.R' 'AllGeneric.R' 'AllMethod.R' 'clustControl.R' 'trainControl.R' 'hmmvbClust.R' 'hmmvbTrain.R' 'vbSearchControl.R' 'package-HDclust.R' 'RcppExports.R' 'sim3.R' 'sim2.R' 'hmmvbBIC.R' 'hmmvbFindModes.R' 'clustModes.R'
RoxygenNote
6.1.1
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
yes
Encoding
UTF-8
Packaged
2019-04-11 18:32:02 UTC; zhanglixiang
Author
Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre]
Maintainer
Jia Li
Repository
CRAN
Date/Publication
2019-04-11 21:57:32 UTC

install.packages('HDclust')

1.0.3

3 months ago

Jia Li

GPL (>= 2)

Depends on

methods

Imports

Rcpp (>= 0.12.16), RcppProgress (>= 0.1), Rtsne (>= 0.11.0)

Suggests

knitr, rmarkdown

Discussions