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GBSC

The cluster effect and clustering performance of spectral clustering are improved by using the particle center to construct the spectral clustering similarity matrix.

Files

These program mainly containing:

  • a synthetic dataset and real dataset folder named "dataset".
  • four python files

Requirements

Installation requirements (Python 3.8)

  • Pycharm
  • Windows operating system
  • scipy==1.8.1
  • matplotlib ==3.5.2
  • numpy==1.23.1
  • psutil ==5.9.1
  • scikit-learn==1.1.1
  • sklearn==0.0
  • pandas==1.4.3
  • seaborn==0.11.2

Dataset Format

  • The synthetic dataset is not labeled, and the format is csv. You need to call GranularBallSynthetic to generate a granular-ball.
  • The format of the real dataset is mat. You need to call GranularBallUCI to generate a granular-ball.

Usage

Run GranularBallSyntheticSC.py to obtain the results of the granular-ball based spectral clustering algorithm on the synthetic dataset, and run GranularBallUCISC.py to obtain the results of the granular-ballbased spectral clustering algorithm on the real dataset.