This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities.

One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset.


Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition.
http://www.sciencedirect.com/science/article/pii/S0031320316301571

Features

  • Clustering
  • Density ratio
  • Varying densities
  • Scaling
  • Density-based Clustering

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Intended Audience

Information Technology, Science/Research

Programming Language

MATLAB

Related Categories

MATLAB Information Analysis Software, MATLAB Machine Learning Software

Registered

2016-07-16