CRAN/E | HDclust

HDclust

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

Installation

About

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) .

Key Metrics

Version 1.0.3
Published 2019-04-11 1848 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks HDclust results

Downloads

Yesterday 6 +20%
Last 7 days 49 -16%
Last 30 days 173 +15%
Last 90 days 437 -36%
Last 365 days 2.067 -17%

Maintainer

Maintainer

Jia Li

jiali@psu.edu

Authors

Yevhen Tupikov

aut

Lin Lin

aut

Lixiang Zhang

aut

Jia Li

aut / cre

Material

Reference manual
Package source

Vignettes

A quick tour of HDclust

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

HDclust archive

Depends

methods

Imports

Rcpp ≥ 0.12.16
RcppProgress ≥ 0.1
Rtsne ≥ 0.11.0

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppProgress