Machine Learning
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DBSCAN
Quick Definition
Density-based clustering finding clusters of varying shapes
Full Definition
A density-based clustering algorithm grouping closely packed points and marking outliers.
Examples
spatial data analysis, anomaly detection, noise filtering
Related Terms
clustering
unsupervised-learning
More Machine Learning Terms
Lasso Regression
Regularized regression using L1 penalty for feature selection
Contrastive Learning
Self-supervised learning by contrasting data pairs
Margin
Distance between decision boundary and nearest data points
Random Forest
Ensemble of decision trees that votes on predictions
Boosting
Sequentially combining weak learners correcting previous errors
Cross-Validation
Evaluating model performance with multiple data splits