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ml.knn

ml.knn implements K-nearest-neighbour classification, mapping an input feature vector to output value(s). Add training examples as lists containing a class ID followed by features, then send train before using map; the k message sets how many nearest neighbours are searched during prediction.

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  • Download via Deken.

    Open Pd and go to ToolsFind Externals. Search for ml.lib and install it. Then create an object with declare -lib ml.lib -path ml.lib. Finally, use ml.knn or any other object from ml.lib.

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