Module clustering

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:

• The gap statistic R. Tibshirani, G. Walther, and T. Hastie (Standford University, 2001)
• The Davies-Bouldin index wikipedia

Structs

AnalysisArray

ClusteringHelper

EntryPoint

Finished

Initialized

NotInitialized

Enums

ClusteringMethod

KOptimal

Functions

convert_to_array

Convert a vector of Analyses into a 2D array