IMP::statistics::Embedding Class Reference

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Detailed Description

Map clustering data to spatial positions.

Point-based clustering needs a way of embedding the data being clustered in space. Classes which implement Embedding provide a mapping between each item being clustered (named by an integer index) and a point in space, as a fixed-lenth array of floating point numbers.

Inheritance diagram for IMP::statistics::Embedding:

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Public Member Functions
	Embedding (std::string name)
virtual unsigned int	get_number_of_points () const =0
virtual Floats	get_point (unsigned int i) const =0
Friends
template<class T >
void	IMP::internal::unref (T *)

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The documentation for this class was generated from the following files:

• point_clustering.h
• statistics/__init__.py