Full statistics from k-means clustering. More...
#include <kmeans.hpp>
Collaboration diagram for kmeans::Results< Cluster_, Float_, Index_ >:
Public Attributes | |
| std::vector< Cluster_ > | clusters |
| std::vector< Float_ > | centers |
| Details< Index_ > | details |
Detailed Description
template<typename Cluster_, typename Float_, typename Index_>
struct kmeans::Results< Cluster_, Float_, Index_ >
struct kmeans::Results< Cluster_, Float_, Index_ >
Full statistics from k-means clustering.
Member Data Documentation
◆ centers
| std::vector<Float_> kmeans::Results< Cluster_, Float_, Index_ >::centers |
An array containing a column-major matrix where each row corresponds to a dimension and each column corresponds to a cluster. Each column contains the centroid coordinates for its cluster.
◆ clusters
| std::vector<Cluster_> kmeans::Results< Cluster_, Float_, Index_ >::clusters |
An array of length equal to the number of observations, containing 0-indexed cluster assignments for each observation.
◆ details
| Details<Index_> kmeans::Results< Cluster_, Float_, Index_ >::details |
Further details from the chosen k-means algorithm.
The documentation for this struct was generated from the following file:
- kmeans/kmeans.hpp
