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
AdaBoost
Combining weak classifiers with adaptive sample weighting
PCA
Statistical technique reducing dimensionality via principal components
Bagging
Training models on random subsets and averaging predictions
CatBoost
Gradient boosting library with native categorical feature support
Autoencoder
Neural network learning compressed data representations
Underfitting
When a model is too simple to capture data patterns