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Hierarchical Clustering

Hierarchical clustering is an unsupervised method that groups observations into nested clusters and draws the result as a dendrogram, so the number of clusters need not be fixed in advance. Its agglomerative form rests on the objective-function grouping criterion introduced by Joe Ward in 1963.

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Hierarchical Agglomerative Clustering

Taksonomisk metoderegistrering · ml-model / machine-learning

Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236–244. · DOI 10.1080/01621459.1963.10500845

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Same method familyDBSCANmachine-suggested · Relational suggestion, not evidence.See alsoFactor Analysismachine-suggested · Relational suggestion, not evidence.Same method familyGaussian Mixture Modelmachine-suggested · Relational suggestion, not evidence.Same method familyPrincipal Component Analysismachine-suggested · Relational suggestion, not evidence.