sim2: Synthetic dataset used in section 5.1.2 of the reference...
In HDclust: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks
sim2 R Documentation
Synthetic dataset used in section 5.1.2 of the reference paper.
Description
Dataset used for testing clustering with HMM-VB.
The data dimension is 5. Data points were drawn from a 10-component Gaussian Mixture Model.
By specific choice of the means, the data contains 10 distinct clusters. For details see the
references.
Usage
sim2
Format
A data frame with 5000 rows and 5 variables. Last column contains ground truth cluster labels.
References
Lin Lin and Jia Li, "Clustering with hidden Markov model on variable blocks," Journal of Machine Learning Research, 18(110):1-49, 2017.
HDclust documentation built on Sept. 20, 2024, 5:09 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| sim2 | R Documentation |
Synthetic dataset used in section 5.1.2 of the reference paper.
Description
Dataset used for testing clustering with HMM-VB. The data dimension is 5. Data points were drawn from a 10-component Gaussian Mixture Model. By specific choice of the means, the data contains 10 distinct clusters. For details see the references.
Usage
sim2
Format
A data frame with 5000 rows and 5 variables. Last column contains ground truth cluster labels.
References
Lin Lin and Jia Li, "Clustering with hidden Markov model on variable blocks," Journal of Machine Learning Research, 18(110):1-49, 2017.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.