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fluid.kmeans

The fluid.kmeans object implements the K-means clustering algorithm, used to group data points from a fluid.dataset into a specified number of clusters. It can incrementally fit data, predict cluster assignments, and retrieve cluster centroids (means), allowing for both unsupervised learning and biased clustering through initial mean seeding.

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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.kmeans 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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