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ml.mindist

ml.mindist implements minimum-distance classification, training a model from labeled feature vectors added as lists whose first value is the class ID. Use train after adding examples, then send map followed by an input feature vector to generate output values; training data and/or the model can also be saved and loaded with write and read.

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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.mindist or any other object from ml.lib.

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