Represents SOM parameters. More...

Public Member Functions
def	__init__ (self)
	Constructor container of SOM parameters.

Public Attributes
	init_type
	Type of initialization of initial neuron weights (random, random in center of the input data, random distributed in data, ditributed in line with uniform grid). More...

	init_radius
	Initial radius (if not specified then will be calculated by SOM). More...

	init_learn_rate
	Rate of learning. More...

	adaptation_threshold
	Condition when learining process should be stoped. More...

Detailed Description

Represents SOM parameters.

Definition at line 90 of file som.py.

Member Data Documentation

◆ adaptation_threshold

pyclustering.nnet.som.som_parameters.adaptation_threshold

Condition when learining process should be stoped.

It's used when autostop mode is used.

Definition at line 112 of file som.py.

◆ init_learn_rate

pyclustering.nnet.som.som_parameters.init_learn_rate

Rate of learning.

Definition at line 109 of file som.py.

◆ init_radius

pyclustering.nnet.som.som_parameters.init_radius

Initial radius (if not specified then will be calculated by SOM).

Definition at line 106 of file som.py.

◆ init_type

pyclustering.nnet.som.som_parameters.init_type

Type of initialization of initial neuron weights (random, random in center of the input data, random distributed in data, ditributed in line with uniform grid).

Definition at line 103 of file som.py.

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

pyclustering/nnet/som.py