get.border.neurons

Returns a list of neurons which are on the border between 2 or more classes.

internal

A topological version of k-NN: An abstract model is build
as 2-dimensional self-organising map. Samples of unknown
class are predicted by mapping them on the SOM and analysing
class membership of neurons in the neighbourhood.

Andreas Dominik

som.nn

Topological k-NN Classifier Based on Self-Organising Maps

get.border.neurons function

<dl><dt>p</dt>
<dd>prediction for training data set</dd>
<dt>classes</dt>
<dd>vector of true class lables for prediction</dd>
<dt>model</dt>
<dd>Object of class type <code>SOMnn</code></dd>
<dt>distance</dt>
<dd>maximum distance of 2 neurons to be the border. Default 1.1:
only direct neighbours.</dd></dl>

Arguments

Get border neurons. — get.border.neurons

<dl>

<dt>p</dt>
<dd>prediction for training data set</dd>


<dt>classes</dt>
<dd>vector of true class lables for prediction</dd>


<dt>model</dt>
<dd>Object of class type <code>SOMnn</code></dd>


<dt>distance</dt>
<dd>maximum distance of 2 neurons to be the border. Default 1.1:
only direct neighbours.</dd>

</dl>

get.border.neurons: Get border neurons.

Description

Usage

Value

Arguments

Details