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
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Loss Function
Math function measuring prediction vs actual value difference
Confusion Matrix
Table visualizing classifier performance by class predictions
Supervised Learning
Learning from labeled training data with input-output pairs