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:

List of all members.

Public Member Functions
	Embedding (std::string name)
virtual unsigned int	get_number_of_items () const =0
virtual algebra::VectorKD	get_point (unsigned int i) const =0
Public Member Functions inherited from IMP::base::Object
std::size_t	__hash__ () const
virtual std::string	get_type_name () const =0
	Return a string identifying the type of the object.
virtual IMP::base::VersionInfo	get_version_info () const =0
	Get information about the module and version of the object.
void	set_check_level (CheckLevel l)
void	set_log_level (LogLevel l)
	Set the logging level used in this object.
void	set_was_used (bool tf) const
void	show (std::ostream &out=std::cout) const
const std::string &	get_name () const
void	set_name (std::string name)

Additional Inherited Members
Protected Member Functions inherited from IMP::base::Object
	Object (std::string name)

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

• point_clustering.h