Canopy - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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dita:id
B700-1022
Product Category
Software

The Canopy function takes a set of data points and identifies each point with one or more canopies. Canopies are groups of points that are interrelated, close, or similar. Canopy clustering is often performed in preparation for more rigorous clustering techniques, such as k-means clustering.

The canopy clustering algorithm is nondeterministic, and the randomness of the canopy assignments cannot be controlled by a seed argument.