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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) <http://jmlr.org/papers/v18/16-342.html>.
Getting started
Browse package contents
Package details |
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| Author | Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre] |
| Maintainer | Jia Li <jiali@psu.edu> |
| License | GPL (>= 2) |
| Version | 1.0.3 |
| Package repository | View on CRAN |
| Installation |
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