Represents SOM parameters. More...

Public Attributes
	init_type
	Defines an initialization way for neuron weights (random, random in center of the input data, random distributed in data, ditributed in line with uniform grid).

	init_radius
	Initial radius. More...

	init_learn_rate
	Rate of learning.

	adaptation_threshold
	Condition that defines when the learining process should be stopped. More...

	random_state
	Seed for random state (by default is `None`, current system time is used).

Detailed Description

Represents SOM parameters.

Definition at line 69 of file som.py.

Member Data Documentation

pyclustering.nnet.som.som_parameters.adaptation_threshold

Condition that defines when the learining process should be stopped.

It is used when the autostop mode is on.

Definition at line 91 of file som.py.

pyclustering.nnet.som.som_parameters.init_radius

Initial radius.

If the initial radius is not specified (equals to None) then it will be calculated by SOM.

Definition at line 85 of file som.py.

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