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
Overfitting
When a model learns training data noise and fails on new data
CatBoost
Gradient boosting library with native categorical feature support
Confusion Matrix
Table visualizing classifier performance by class predictions
A/B Testing
Statistical method comparing two versions for performance
Unsupervised Learning
Discovering hidden patterns in unlabeled data
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors