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Chameleon Hierarchical Clustering in MATLAB

This repository contains a MATLAB implementation of the Chameleon clustering algorithm by [1].

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The helper functions and core logic in this repository are adapted from the work of Kchu/Chameleon-cluster-matlab.

  • Chameleon.m: The main entry point for the clustering algorithm.
  • calculEC.m: Calculates the Internal Interconnectivity (Edge Cut) of a cluster.
  • calculRI.m: Computes the Relative Interconnectivity between two clusters.
  • calculRC.m: Computes the Relative Closeness between two clusters.
  • Fowlkes_Mallows_index.m: An external cluster validity index introduced by [2] to evaluate cluster assignments between generated clusters and ground truth clusters.

Reference

[1] G. Karypis, Eui-Hong Han, and V. Kumar, "Chameleon: hierarchical clustering using dynamic modeling," Computer, vol. 32, no. 8, pp. 68-75, Aug. 1999. doi: 10.1109/2.781637.

[2] E. B. Fowlkes and C. L. Mallows, "A method for comparing two hierarchical clusterings," Journal of the American Statistical Association, vol. 78, no. 383, pp. 553-569, Jun. 1983, doi: 10.1080/01621459.1983.10477908.

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MATLAB implementation of the Chameleon hierarchical clustering algorithm

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