Cluster Classification

Data structures specialized to classify clusters.

Classes
class	CGAL::Classification::Feature::Cluster_vertical_extent
	Feature that returns the length of the smallest interval on the Z axis that contains all the items of a cluster. More...
class	CGAL::Classification::Feature::Cluster_variance_of_feature
	Feature that computes the variance values of an itemwise feature over the respective items of clusters. More...
class	CGAL::Classification::Feature::Cluster_mean_of_feature
	Feature that computes the mean values of an itemwise feature over the respective items of clusters. More...
class	CGAL::Classification::Feature::Cluster_size
	Feature that returns the size of each cluster. More...
class	CGAL::Classification::Cluster< ItemRange, ItemMap >
	Class that represent a cluster of items to be classified as a single atomic object. More...

Functions
template<typename ItemRange , typename ItemMap , typename IndexMap >
std::size_t	CGAL::Classification::create_clusters_from_indices (const ItemRange &range, ItemMap item_map, IndexMap index_map, std::vector< Cluster< ItemRange, ItemMap > > &clusters)
	Given a set of cluster indices, segments the input range into Cluster objects. More...

Function Documentation

create_clusters_from_indices()

template<typename ItemRange , typename ItemMap , typename IndexMap >

std::size_t CGAL::Classification::create_clusters_from_indices	(	const ItemRange &	range,
		ItemMap	item_map,
		IndexMap	index_map,
		std::vector< Cluster< ItemRange, ItemMap > > &	clusters
	)

#include <CGAL/Classification/Cluster.h>

Given a set of cluster indices, segments the input range into Cluster objects.

All items whose index value idx (accessed through index_map) is the same are stored in the same cluster at position idx in the clusters vector.

Template Parameters

ItemRange	model of ConstRange. Its iterator type is RandomAccessIterator. Its value type depends on the data that is classified (for example, CGAL::Point_3 or CGAL::Triangle_3).
ItemMap	model of ReadablePropertyMap whose key type is the value type of the iterator of ItemRange and value type is the type of item to classify (for example, CGAL::Point_3).
IndexMap	is a model of ReadablePropertyMap with value type int.

Parameters

range	input range.
item_map	property map to access the input items.
index_map	property map that associates the index of an item in the input range to the index of a cluster (-1 if item is not assigned to a cluster).
clusters	container where generated Cluster objects are stored.

Examples:

Classification/example_cluster_classification.cpp.