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smoothknn | See Also

classifies the query using smoothknn

Syntax

    [out,confid]=smoothknn(data,query)

    [out,confid]=smoothknn(data,query,kernels)

    [out,confid]=smoothknn(data,query,kernels,ratio)

Description

`[out,confid]=smoothknn(data,query)` classifies the point whose the features are equal to `query` inside classes `out` with a confidence `confid`. The classification is done by means of a kNN with fixed metric using the dataset `data`.

`[out,confid]=smoothknn(data,query,kernels)` The classification is performed using an adaptive metric based on kernels.

`[out,confid]=smoothknn(data,query,kernels,ratio)` Ratio increases the smoothness of the algorithm by extending the zone of influence of each point (equivalent to take a wider neibourghood).

See Also

simpleknn, fuzzyknn

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