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) https://jmlr.org/papers/v18/16-342.html.
- Version1.0.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/20/2024
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Team
Jia Li
Lixiang Zhang
Show author detailsRolesAuthorYevhen Tupikov
Show author detailsRolesAuthorLin Lin
Show author detailsRolesAuthor
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