pyclustering.utils.metric.type_metric Class Reference

Enumeration of supported metrics in the module for distance calculation between two points. More...

Inheritance diagram for pyclustering.utils.metric.type_metric:

Collaboration diagram for pyclustering.utils.metric.type_metric:

Static Public Attributes
int	EUCLIDEAN = 0
	Euclidean distance, for more information see function 'euclidean_distance'.
int	EUCLIDEAN_SQUARE = 1
	Square Euclidean distance, for more information see function 'euclidean_distance_square'.
int	MANHATTAN = 2
	Manhattan distance, for more information see function 'manhattan_distance'.
int	CHEBYSHEV = 3
	Chebyshev distance, for more information see function 'chebyshev_distance'.
int	MINKOWSKI = 4
	Minkowski distance, for more information see function 'minkowski_distance'.
int	CANBERRA = 5
	Canberra distance, for more information see function 'canberra_distance'.
int	CHI_SQUARE = 6
	Chi square distance, for more information see function 'chi_square_distance'.
int	GOWER = 7
	Gower distance, for more information see function 'gower_distance'.
int	USER_DEFINED = 1000
	User defined function for distance calculation between two points.

Detailed Description

Enumeration of supported metrics in the module for distance calculation between two points.

Definition at line 17 of file metric.py.

---

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

• pyclustering/utils/metric.py