Machine Learning
22 views
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
Margin
Distance between decision boundary and nearest data points
DBSCAN
Density-based clustering finding clusters of varying shapes
Contrastive Learning
Self-supervised learning by contrasting data pairs
ARIMA
Statistical model for time series analysis and forecasting
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
CatBoost
Gradient boosting library with native categorical feature support