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algorithm

K-Means

beginnerunsupervised
parametricclusteringtabular

Mechanisms

centroid optimizationdistance

Properties

interpretable

Constraints

requires scalingsensitive to high dimensionsensitive to outliers

Practical profile

Explainability
medium
Training cost
low
Inference cost
low
Data appetite
medium