Sparse Dual of the Density Peaks Algorithm for Cluster Analysis of High-dimensional Data

@article{Floros2018SparseDO,
  title={Sparse Dual of the Density Peaks Algorithm for Cluster Analysis of High-dimensional Data},
  author={Dimitris Floros and Tiancheng Liu and Nikos Pitsianis and Xiaobai Sun},
  journal={2018 IEEE High Performance extreme Computing Conference (HPEC)},
  year={2018},
  pages={1-14}
}
The density peaks (DP) algorithm for cluster analysis, introduced by Rodriguez and Laio in 2014, has proven empirically competitive or superior in multiple aspects to other contemporary clustering algorithms. Yet, it suffers from certain drawbacks and limitations when used for clustering high-dimensional data. We introduce SD-DP, the sparse dual version of DP. While following the DP principle and maintaining its appealing properties, we find and use a sparse descriptor of local density as a… CONTINUE READING

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