Skip to content

HDclust

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

v1.0.4 · Sep 20, 2024 · GPL (>= 2)

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) <https://jmlr.org/papers/v18/16-342.html>.

Downloads

207

Last 30 days

21932nd

591

Last 90 days

2.3K

Last year

Trend: +1.5% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

suggests

Dependency Network

Dependencies Reverse dependencies Rcpp RcppProgress Rtsne OTclust HDclust

Version History

new 1.0.4 Mar 10, 2026
updated 1.0.4 ← 1.0.3 diff Sep 19, 2024
updated 1.0.3 ← 1.0 diff Apr 10, 2019
new 1.0 Jul 29, 2018