sim2

<p>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.</p>

datasets

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>.

Jia Li

HDclust

Clustering High Dimensional Data with Hidden Markov Model on
Variable Blocks

Yevhen Tupikov

Lin Lin

Lixiang Zhang

sim2 function

<p>A data frame with 5000 rows and 5 variables. Last column contains ground truth cluster labels.</p>

Format

Synthetic dataset used in section 5.1.2 of the reference paper. — sim2

Synthetic dataset used in section 5.1.2 of the reference paper.

sim2: Synthetic dataset used in section 5.1.2 of the reference paper.

Description

Usage

Arguments

Format

References