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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>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

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Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/HDclust.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 10, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 9, 2026
ERROR r-devel-linux-x86_64-debian-gcc

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Installation failed.
See ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/HDclust.Rcheck/00install.out’ for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

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Dependencies Reverse dependencies Rcpp RcppProgress Rtsne OTclust HDclust

Version History

4 tracked
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