Machine Learning
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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
Logistic Regression
Statistical model estimating binary outcome probabilities
Imbalanced Learning
Handling datasets with unequal class distributions
Boosting
Sequentially combining weak learners correcting previous errors
ROC Curve
Plot showing classifier performance across thresholds
Multi-Task Learning
Training one model for multiple related tasks simultaneously
CatBoost
Gradient boosting library with native categorical feature support