Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12]

Ckmeans::MockMatrix::ConsecutiveAccessWorkspace	Workspace for access to consecutive observations
Ckmeans::Details< Index_ >	Additional statistics from the k-means algorithm
Ckmeans::Details< Index_ >
Ckmeans::MockMatrix::IndexedAccessWorkspace	Workspace for access to a indexed subset of observations
▼Ckmeans::Initialize< Matrix_, Cluster_, Float_ >	Base class for initialization algorithms
Ckmeans::InitializeKmeanspp< Matrix_, Cluster_, Float_ >	k-means++ initialization of Arthur and Vassilvitskii (2007)
Ckmeans::InitializeNone< Matrix_, Cluster_, Float_ >	No-op "initialization" with existing cluster centers
Ckmeans::InitializeRandom< Matrix_, Cluster_, Float_ >	Initialize by sampling random observations without replacement
Ckmeans::InitializeVariancePartition< Matrix_, Cluster_, Float_ >	Implements the variance partitioning method of Su and Dy (2007)
Ckmeans::Initialize< SimpleMatrix< double, int >, int, double >
Ckmeans::InitializeKmeansppOptions	Options for k-means++ initialization
Ckmeans::InitializeRandomOptions	Options to use for InitializeRandom
Ckmeans::InitializeVariancePartitionOptions	Options for InitializeVariancePartition
Ckmeans::MockMatrix	Compile-time interface for matrix data
Ckmeans::MockMatrix::RandomAccessWorkspace	Workspace for random access to observations
▼Ckmeans::Refine< Matrix_, Cluster_, Float_ >	Interface for all k-means refinement algorithms
Ckmeans::RefineHartiganWong< Matrix_, Cluster_, Float_ >	Implements the Hartigan-Wong algorithm for k-means clustering
Ckmeans::RefineLloyd< Matrix_, Cluster_, Float_ >	Implements the Lloyd algorithm for k-means clustering
Ckmeans::RefineMiniBatch< Matrix_, Cluster_, Float_ >	Implements the mini-batch algorithm for k-means clustering
Ckmeans::Refine< SimpleMatrix< double, int >, int, double >
Ckmeans::RefineHartiganWongOptions	Options for RefineHartiganWong
Ckmeans::RefineLloydOptions	Options for RefineLloyd construction
Ckmeans::RefineMiniBatchOptions	Options for RefineMiniBatch construction
Ckmeans::Results< Cluster_, Float_, Index_ >	Full statistics from k-means clustering
Ckmeans::SimpleMatrix< Data_, Index_, Dim_ >	A simple matrix of observations