Machine Learning
286 views
K-Means
Quick Definition
Partitioning data into k clusters by updating centroids
Full Definition
A clustering algorithm partitioning data into k clusters by iteratively updating centroids.
Examples
customer segmentation, image quantization, clustering
Related Terms
clustering
unsupervised-learning
More Machine Learning Terms
Cross-Validation
Evaluating model performance with multiple data splits
Hidden Markov Model
Statistical model with hidden states and observable outputs
CatBoost
Gradient boosting library with native categorical feature support
Ensemble Learning
Combining multiple models for better predictions
Autoencoder
Neural network learning compressed data representations
Random Forest
Ensemble of decision trees that votes on predictions