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fluid.knnclassifier

The fluid.knnclassifier object implements a K-Nearest Neighbors classifier, leveraging a fluid.kdtree for efficient data searching. It is designed to classify data, such as audio features (e.g., MFCCs), stored within a fluid.dataset~ by training on existing labeled examples and then predicting the class of new inputs.

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  • Download here.

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

  • Library developed mainly by Pierre Alexandre Tremblay, Owen Green, Alex Harker, Gerard Roma, Ted Moore, Matt, Edouard Levasseur.
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  • Available for .

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