enrich.dirty: enrich training set with dirty mapped samples
In som.nn: Topological k-NN Classifier Based on Self-Organising Maps
View source: R/som.nn.multitrain.R
enrich.dirty R Documentation
enrich training set with dirty mapped samples
Description
Maps x to the SOM defined in model and makes a list of dirty neurons
(i.e. neurons with more then one class label mapped).
All training samples in these neurons are added to the training set
to enhance their training.
Usage
enrich.dirty(x, model, multiple)
Arguments
x
training data
model
SOMnn model
multiple
enhancement factor for dirty samples
som.nn documentation built on May 29, 2024, 6:50 a.m.
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View source: R/som.nn.multitrain.R
| enrich.dirty | R Documentation |
enrich training set with dirty mapped samples
Description
Maps x to the SOM defined in model and makes a list of dirty neurons (i.e. neurons with more then one class label mapped). All training samples in these neurons are added to the training set to enhance their training.
Usage
enrich.dirty(x, model, multiple)
Arguments
x |
training data |
model |
SOMnn model |
multiple |
enhancement factor for dirty samples |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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