R: Topological k-NN Classifier Based on Self-Organising Maps

# Topological k-NN Classifier Based on Self-Organising Maps

## Documentation for package ‘som.nn’ version 1.4.4

- DESCRIPTION file

## Help Pages

som.nn-package | Topological k-NN Classifier Based on Self-Organising Maps
dist.fun.bubble | Bubble distance functions for topological k-NN classifier
dist.fun.inverse | Inverse exponential distance functions for topological k-NN classifier
dist.fun.linear | Linear distance functions for topological k-NN classifier
dist.fun.tricubic | Tricubic distance functions for topological k-NN classifier
dist.torus | Torus distance matrix
initialize-method | Constructor of SOMnn Class
norm.linear | Linear normalisation
norm.softmax | Softmax normalisation
plot-method | Plot method for S4 class 'SOMnn'
predict-method | predict method for S4 class 'SOMnn'
round.probabilities | Advanced rounding of vectors
som.nn | Topological k-NN Classifier Based on Self-Organising Maps
som.nn.accuracy | Calculate accuracy measures
som.nn.all.accuracy | Calculate overall accuracy
som.nn.confusion | Calculate confusion matrix
som.nn.continue | Continue hexagonal som training
som.nn.export.kohonen | Export a som.nn model as object of type 'kohonen'
som.nn.export.som | Export a som.nn model as object of type 'SOM'
som.nn.multitrain | Multi-step hexagonal som training
som.nn.set | Set parameters for k-NN-like classifier in som.nn model
som.nn.train | Hexagonal som training
som.nn.validate | Predict class labels for a validation dataset
som.nn.visual | Mapping function for SOMnn
SOMnn | An S4 class to hold a model for the topological classifier som.nn
SOMnn-class | An S4 class to hold a model for the topological classifier som.nn