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
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Dropout
Regularization randomly deactivating neurons during training
LightGBM
Fast gradient boosting framework using histogram splitting
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Boosting
Sequentially combining weak learners correcting previous errors
Data Augmentation
Artificially increasing training data through modified copies