kmeans
A C++ library for k-means
|
Files | |
compute_wcss.hpp | |
Compute within-cluster sum of squares. | |
Details.hpp | |
Report detailed clustering statistics. | |
Initialize.hpp | |
Interface for k-means initialization. | |
InitializeKmeanspp.hpp | |
Class for kmeans++ initialization. | |
InitializeNone.hpp | |
Class for no initialization. | |
InitializeRandom.hpp | |
Class for random initialization. | |
InitializeVariancePartition.hpp | |
k-means initialization with variance partitioning. | |
kmeans.hpp | |
Implements the full k-means clustering procedure. | |
MockMatrix.hpp | |
Expectations for matrix inputs. | |
parallelize.hpp | |
Utilities for parallelization. | |
Refine.hpp | |
Interface for k-means refinement. | |
RefineHartiganWong.hpp | |
Implements the Hartigan-Wong algorithm for k-means clustering. | |
RefineLloyd.hpp | |
Implements the Lloyd algorithm for k-means clustering. | |
RefineMiniBatch.hpp | |
Implements the mini-batch algorithm for k-means clustering. | |
SimpleMatrix.hpp | |
Wrapper for a simple dense matrix. | |