Synthetic dataset used in section 5.1.2 of the reference paper.
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.
sim2
A data frame with 5000 rows and 5 variables. Last column contains ground truth cluster labels.
Lin Lin and Jia Li, "Clustering with hidden Markov model on variable blocks," Journal of Machine Learning Research, 18(110):1-49, 2017.
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