| Modifier and Type | Class and Description |
|---|---|
class |
RNGModelImpl
This provides a default implementation of the RNGModel interface.
|
| Modifier and Type | Method and Description |
|---|---|
static RNGErrorModel |
RelationalNeuralGas.train(double[][] D,
int K)
Trains a relational neural gas model with K prototypes for the given data in terms of a m x m
matrix of pairwise distances D, using 30 iterations of the RNG algorithm.
|
static RNGErrorModel |
RelationalNeuralGas.train(double[][] D,
int K,
int T)
Trains a relational neural gas model with K prototypes for the given data in terms of a m x m
matrix of pairwise distances D, using T iterations of the RNG algorithm.
|
Copyright (C) 2015-2017 Benjamin Paaßen, AG Machine Learning, Centre of Excellence Cognitive Interaction Technology (CITEC), University of Bielefeld, licensed under the GPL v. 3: https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas . This documentation is licensed under the conditions of CC-BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/