Represents SOM parameters.
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def | __init__ (self) |
| Constructor container of SOM parameters.
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Represents SOM parameters.
Definition at line 90 of file som.py.
◆ 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: