Programming Language: Python

Namespace/Package Name: sklearn.mixture

Class/Type: GMM

Examples at hotexamples.com: 60

The 'sklearn.mixture.GMM' module in Python is a part of the 'scikit-learn' library and stands for Gaussian Mixture Model. GMM is a probabilistic model for representing the underlying structure of a dataset by assuming that it is generated from a mixture of Gaussian distributions. The 'sklearn.mixture.GMM' module provides the necessary tools to estimate the parameters of a GMM from a given dataset. This module is particularly useful for tasks such as clustering, density estimation, and generating new samples from a learned distribution. By utilizing GMM, one can find the best-fitting Gaussian distributions that represent the data and make predictions based on the learned model.

Frequently Used Methods

Frequently Used Methods

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