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Agglomerative Methods (of Cluster Analysis)

Agglomerative Methods (of Cluster Analysis)

Agglomerative Methods (of Cluster Analysis):

In agglomerative methods of hierarchical cluster analysis , the clusters obtained at the previous step are fused into larger clusters. Agglomerative methods start with N clusters comprising a single object, then on each step two clusters from the previous step are fused into a bigger cluster. The criterion of such fusion is the minimal distance between the two clusters to be fused, as specified by the chosen linkage function .

A complementary concept is divisive methods .

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Cluster Analysis
This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
Instructor Spotlight: Cliff Ragsdale
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