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2 results for “unsupervised learning”
Foundations
K-Means Clustering
K-means clustering is an unsupervised machine learning algorithm that partitions a dataset into k groups by minimising the sum of squared distances between data points and their assigned cluster centroids.
4 min readUpdated May 2026
Foundations
Principal Component Analysis
An unsupervised statistical technique that transforms correlated variables into a smaller set of uncorrelated components that preserve as much variance in the original data as possible.
4 min readUpdated May 2026