Description Usage Arguments Value Examples
apply.GMM
returns the log likelihood from the cluster to the observations. It also provides the labels/classifications of each points.
1 | apply.GMM(data.matrix, K)
|
data.matrix |
Dataset of type matrix (List of double) and shape (n x d), where n is the number of observations and d is the dimension of the dataset. |
K |
The number of Gaussian mixtures. |
A class where "loglik" is the log likelihood, and "K" is the number of gaussian mixtures
For description of how GMM clustering algorithm works, please see the following url. https://en.wikipedia.org/wiki/Mixture_model#Gaussian_mixture_model
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.