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Module clustering

Module clustering 

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this module contains helpers that wrap the a k-means crate to perform clustering on the data without having to choose an exact number of clusters.

Instead, you provide the minimum and maximum number of clusters you want to try, and we’ll use one of a range of methods to determine the optimal number of clusters.

§References:

Structs§

ClusteringHelper
EntryPoint
Finished
Initialized
NotInitialized

Enums§

ClusteringMethod
KOptimal
ProjectionMethod
Should the data be projected into a lower-dimensional space before clustering, if so how?

Type Aliases§

ClusteringResult
FitDataset