Model-based clustering with multivariate Gaussian distributions. Results are interpreted with tools like multidimensional scaling based on Hellinger distance, probability distributions and overlapping between clusters. We also introduce a method to simulate three-dimensional spines.
|Maintainer||Sergio Luengo-Sanchez <[email protected]>|
|Package repository||View on GitHub|
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