Machine Learning
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Gaussian Mixture Model
Quick Definition
Probabilistic model using multiple Gaussian distributions
Full Definition
A probabilistic model assuming data is generated from a mixture of several Gaussian distributions with unknown parameters.
Examples
clustering, density estimation, anomaly detection
Related Terms
clustering
unsupervised-learning
More Machine Learning Terms
Linear Regression
Modeling variable relationships by fitting a linear equation
Margin
Distance between decision boundary and nearest data points
Hidden Markov Model
Statistical model with hidden states and observable outputs
Boosting
Sequentially combining weak learners correcting previous errors
PCA
Statistical technique reducing dimensionality via principal components
LightGBM
Fast gradient boosting framework using histogram splitting