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fluid.pca

fluid.pca performs Principal Component Analysis (PCA) on a fluid.dataset to reduce dimensionality, such as transforming 13 MFCC values into 2. It helps create a perceptually meaningful space for data clustering and offers a 'whitening' option to enforce unit variance among principal components.

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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.pca or any other object from flucoma.

  • Library developed mainly by Pierre Alexandre Tremblay, Owen Green, Alex Harker, Gerard Roma, Ted Moore, Matt, Edouard Levasseur.
  • Report Bugs/Errors here!
  • Available for .

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