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HDclust  

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks
View on CRAN: Click here


Download and install HDclust package within the R console
Install from CRAN:
install.packages("HDclust")

Install from Github:
library("remotes")
install_github("cran/HDclust")

Install by package version:
library("remotes")
install_version("HDclust", "1.0.4")



Attach the package and use:
library("HDclust")
Maintained by
Jia Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2024-09-20
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) .
How to cite:
Jia Li (2018). HDclust: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks. R package version 1.0.4, https://cran.r-project.org/web/packages/HDclust. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.3 (2019-04-11 23:57), 1.0 (2018-07-30 00:00)
Other packages that cited HDclust R package
View HDclust citation profile
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Complete documentation for HDclust
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