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