Details
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New Feature
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Status: Resolved
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Minor
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Resolution: Won't Fix
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None
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None
Description
The canopy clustering algorithm is an unsupervised pre-clustering algorithm. It is often used as a preprocessing step for the K-means algorithm or the Hierarchical clustering algorithm. It is intended to speed up clustering operations on large data sets, where using another algorithm directly may be impractical due to the size of the data set.