pyclustering.container.cftree.measurement_type Class Reference

Enumeration of measurement types for CF-Tree. More...

+ Inheritance diagram for pyclustering.container.cftree.measurement_type:
+ Collaboration diagram for pyclustering.container.cftree.measurement_type:

Static Public Attributes

int CENTROID_EUCLIDEAN_DISTANCE = 0
 Euclidian distance between centroids of clustering features. More...
 
int CENTROID_MANHATTAN_DISTANCE = 1
 Manhattan distance between centroids of clustering features. More...
 
int AVERAGE_INTER_CLUSTER_DISTANCE = 2
 Average distance between all objects from clustering features. More...
 
int AVERAGE_INTRA_CLUSTER_DISTANCE = 3
 Average distance between all objects within clustering features and between them. More...
 
int VARIANCE_INCREASE_DISTANCE = 4
 Variance based distance between clustering features. More...
 

Detailed Description

Enumeration of measurement types for CF-Tree.

See also
cftree

Definition at line 38 of file cftree.py.

Member Data Documentation

◆ AVERAGE_INTER_CLUSTER_DISTANCE

int pyclustering.container.cftree.measurement_type.AVERAGE_INTER_CLUSTER_DISTANCE = 2
static

Average distance between all objects from clustering features.

Definition at line 53 of file cftree.py.

◆ AVERAGE_INTRA_CLUSTER_DISTANCE

int pyclustering.container.cftree.measurement_type.AVERAGE_INTRA_CLUSTER_DISTANCE = 3
static

Average distance between all objects within clustering features and between them.

Definition at line 56 of file cftree.py.

◆ CENTROID_EUCLIDEAN_DISTANCE

int pyclustering.container.cftree.measurement_type.CENTROID_EUCLIDEAN_DISTANCE = 0
static

Euclidian distance between centroids of clustering features.

Definition at line 47 of file cftree.py.

◆ CENTROID_MANHATTAN_DISTANCE

int pyclustering.container.cftree.measurement_type.CENTROID_MANHATTAN_DISTANCE = 1
static

Manhattan distance between centroids of clustering features.

Definition at line 50 of file cftree.py.

◆ VARIANCE_INCREASE_DISTANCE

int pyclustering.container.cftree.measurement_type.VARIANCE_INCREASE_DISTANCE = 4
static

Variance based distance between clustering features.

Definition at line 59 of file cftree.py.


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