kmeans::InitializeNone< Index_, Data_, Cluster_, Float_, Matrix_ > Class Template Reference

No-op "initialization" with existing cluster centers. More...

#include <InitializeNone.hpp>

Inheritance diagram for kmeans::InitializeNone< Index_, Data_, Cluster_, Float_, Matrix_ >:

Collaboration diagram for kmeans::InitializeNone< Index_, Data_, Cluster_, Float_, Matrix_ >:

Additional Inherited Members
Public Member Functions inherited from kmeans::Initialize< Index_, Data_, Cluster_, Float_, Matrix_ >
virtual Cluster_	run (const Matrix_ &data, Cluster_ num_centers, Float_ *centers) const =0

Detailed Description

template<typename Index_, typename Data_, typename Cluster_, typename Float_, class Matrix_ = Matrix<Index_, Data_>>
class kmeans::InitializeNone< Index_, Data_, Cluster_, Float_, Matrix_ >

No-op "initialization" with existing cluster centers.

Template Parameters

Index_	Integer type for the observation indices in the input dataset.
Data_	Numeric type for the input dataset.
Cluster_	Integer type for the cluster assignments.
Float_	Floating-point type for the centroids. This will also be used for any internal distance calculations.
Matrix_	Class of the input data matrix. This should satisfy the Matrix interface.

This class assumes that that cluster centers are already present in the centers array, and returns them without modification.

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

• kmeans/InitializeNone.hpp