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
Machine Learning
AI subset where systems learn patterns from data
Clustering
Grouping similar data points based on feature similarity
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Supervised Learning
Learning from labeled training data with input-output pairs
Random Forest
Ensemble of decision trees that votes on predictions