KNN & PatternList & FeatureWeights: To TableOfReal...

Use the selected KNN classifier and the feature weights, FeatureWeights, to classify the chosen PatternList. A TableOfReal object containing verbose information on the decision process will be created.

Settings

k neighbours
The size of the neighbourhood.
Vote weighting
The type of vote weighting to be used.
Output
Specifies the degree of verbosity, where winners only generates a TableOfReal containing information on the instances of the winning category only whereas All candidates results in a TableOfReal with verbose information on all unique categories in the neighbourhood defined by the parameter k.

See also:

kNN classifiers 1.1.1. Feature weighting
kNN classifiers 1.1.1.1. Filter-based feature weighting
kNN classifiers 1.1.1.2. Wrapper-based feature weighting
kNN classifiers 1.1. Improving classification accuracy
kNN classifiers 1. What is a kNN classifier?
kNN classifiers

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© Ola Söder, July 18, 2008