Store data to be clustered for distance metric based algorithms. More...

#include <IMP/statistics/Metric.h>

Inheritance diagram for IMP::statistics::Metric:

Public Member Functions
virtual double	get_distance (unsigned int i, unsigned int j) const =0

virtual unsigned int	get_number_of_items () const =0

double	get_weight (unsigned int i) const

Public Member Functions inherited from IMP::base::Object
virtual void	clear_caches ()

virtual void	do_destroy ()

CheckLevel	get_check_level () const

LogLevel	get_log_level () const

virtual VersionInfo	get_version_info () const
	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. More...

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)

virtual std::string	get_type_name () const

Protected Member Functions
	Metric (std::string name)

virtual double	do_get_weight (unsigned int i) const
	By default return 1.0.

Protected Member Functions inherited from IMP::base::Object
	Object (std::string name)
	Construct an object with the given name. More...

Detailed Description

Metric clustering needs a way of computing the distances between the things being clustered. Classes that implement this abstract base class provide a way of getting the distance between any two items.

Definition at line 25 of file Metric.h.

Member Function Documentation

double IMP::statistics::Metric::get_weight ( unsigned int i ) const

Return a weight for the point.

Definition at line 37 of file Metric.h.

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

Metric.h

Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation