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
Imbalanced Learning
Handling datasets with unequal class distributions
Data Augmentation
Artificially increasing training data through modified copies
Bagging
Training models on random subsets and averaging predictions
Boosting
Sequentially combining weak learners correcting previous errors
XGBoost
Optimized gradient boosting library for structured data
Gradient Descent
Optimization algorithm minimizing loss by steepest descent