libstp::kmeans::KMeans Class Reference

Fixed-iteration k-means for one-dimensional data with exactly two clusters. More...

#include <Kmeans.hpp>

Public Member Functions
	KMeans (int maxIterations=10)
KMeansResult	fit (const std::vector< double > &data) const
	Cluster data and return the two final centroids in ascending order.

Detailed Description

Fixed-iteration k-means for one-dimensional data with exactly two clusters.

Definition at line 14 of file Kmeans.hpp.

Constructor & Destructor Documentation

KMeans()

libstp::kmeans::KMeans::KMeans ( int maxIterations = 10 )

inline

Definition at line 16 of file Kmeans.hpp.

Member Function Documentation

fit()

KMeansResult libstp::kmeans::KMeans::fit

(

const std::vector< double > &

data

)

const

Cluster data and return the two final centroids in ascending order.

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The documentation for this class was generated from the following file:

• /home/runner/work/raccoon-lib/raccoon-lib/modules/libstp-kmeans/include/Kmeans.hpp