Machine Learning
143 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
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
XGBoost
Optimized gradient boosting library for structured data
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Overfitting
When a model learns training data noise and fails on new data
Survival Analysis
Statistical methods analyzing time until an event occurs