pyclustering.nnet.som.type_init Class Reference

Enumeration of initialization types for SOM. More...

+ Inheritance diagram for pyclustering.nnet.som.type_init:
+ Collaboration diagram for pyclustering.nnet.som.type_init:

Static Public Attributes

int random = 0
 Weights are randomly distributed using Gaussian distribution (0, 1). More...
 
int random_centroid = 1
 Weights are randomly distributed using Gaussian distribution (input data centroid, 1). More...
 
int random_surface = 2
 Weights are randomly distrbiuted using Gaussian distribution (input data centroid, surface of input data). More...
 
int uniform_grid = 3
 Weights are distributed as a uniform grid that covers whole surface of the input data. More...
 

Detailed Description

Enumeration of initialization types for SOM.

See also
som

Definition at line 69 of file som.py.

Member Data Documentation

◆ random

int pyclustering.nnet.som.type_init.random = 0
static

Weights are randomly distributed using Gaussian distribution (0, 1).

Definition at line 78 of file som.py.

◆ random_centroid

int pyclustering.nnet.som.type_init.random_centroid = 1
static

Weights are randomly distributed using Gaussian distribution (input data centroid, 1).

Definition at line 81 of file som.py.

◆ random_surface

int pyclustering.nnet.som.type_init.random_surface = 2
static

Weights are randomly distrbiuted using Gaussian distribution (input data centroid, surface of input data).

Definition at line 84 of file som.py.

◆ uniform_grid

int pyclustering.nnet.som.type_init.uniform_grid = 3
static

Weights are distributed as a uniform grid that covers whole surface of the input data.

Definition at line 87 of file som.py.


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