Skip to content

fluid.skmeans

fluid.skmeans implements the K-means clustering algorithm with cosine similarity. It allows users to incrementally fit datasets to learn clusters, predict cluster assignments for data points, and retrieve the calculated cluster centroids. This object is useful for data analysis and pattern recognition within datasets.

AI Generated

This content was generated with the assistance of AI. If you notice any errors, please report them or submit a fix using Submit. Check the prompt used here.

  • 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.skmeans 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 .

Similar

    Comments

    Contributors