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 of the observation indices. This should be the same as the index type of Matrix_.
Data_	Numeric type of the input dataset. This should be the same as the data type of Matrix_.
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 satisfying 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