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
Random Forest
Ensemble of decision trees that votes on predictions
Kernel Trick
Transforming data to higher dimensions for linear separability
Machine Learning
AI subset where systems learn patterns from data
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Underfitting
When a model is too simple to capture data patterns
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors