som.nn.round.votes

Each row of the <code>data.frame</code> may sum up to 1.0
before and after rounding.
Rounding is performed with <code>round.probabilities</code>.

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

som.nn.round.votes function

<dl><dt>votes</dt>
<dd><code>data.frame</code> with rows of class probabilities.</dd>
<dt>classes</dt>
<dd><code>character</code> vector with name of categories.
Names must match the column names of probabilities to be
rounded.</dd>
<dt>digits</dt>
<dd>precision; default = 2.</dd></dl>

Arguments

Rounds a dataframe with vectors of votes for SOMnn — som.nn.round.votes

<dl>

<dt>votes</dt>
<dd><code>data.frame</code> with rows of class probabilities.</dd>


<dt>classes</dt>
<dd><code>character</code> vector with name of categories.
Names must match the column names of probabilities to be
rounded.</dd>


<dt>digits</dt>
<dd>precision; default = 2.</dd>

</dl>

som.nn.round.votes: Rounds a dataframe with vectors of votes for SOMnn

Description

Usage

Value

Arguments