Reference work entry
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K-Medoids Clustering is a clustering method more robust to outliers than K-Means. Representative algorithms include Partitioning Around Medoids (PAM), CLARA, CLARANS, etc.
- Kaufman L, Rousseeuw PJ (2005) Finding groups in data: an introduction to cluster analysis. Wiley series in probability and statistics. Wiley-Interscience, New YorkGoogle Scholar
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