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Probabilistic Quantum Clustering (PQC)

Usage

  • PQC_main_script.m contains the main script with the pipeline of the PQC algorithm.

-Before, add project folder to Matlab search path.

  • The script uses 5 datasets as examples, they are contained in datasets4.mat, where one of them is selected by the opt variable.

  • There are two model variants implemented, QC2 and QC3. They can be switched with QC3 = True/False

    • QC2 is more basic and estimates the density of the points by K-NN with spherical distributions.
    • QC3 is more complex and estimates the density of the points by K-NN with distributions based on covariance matrices.
  • The two main hyper-parameters can be scanned enabling the following variables (scan_knn and scan_dE). The graph with average negative log-likelihood (ALL) will help to select the most appropriate hyper-parameter (the smaller ALL the better).

TODO: Add additional guidelines to clarify the usage

Additional information and mathematical background can be found in published articles:

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