FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

@article{Parmar2019FREDPCAF,
  title={FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy},
  author={Milan Deepak Parmar and Wei Pang and Dehao Hao and Jianhua Jiang and Wang Liupu and Limin Wang and You Zhou},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={89789-89804}
}
The most common issues for many clustering algorithms include the slow convergence, requirement for pre-specification of a number of parameters, and the lack of robustness when dealing with anomalies. Recently, the density peak clustering (DPC) algorithm was proposed to discover the centers of clusters by finding the density peaks in a dataset based on their local densities. The DPC needs neither an iterative process nor a large number of parameters, and it supports a heuristic approach, known… CONTINUE READING

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