Study on density peaks clustering based on k-nearest neighbors and principal component analysis

    Knowl.-Based Syst., Volume 99, Issue C, 2016, Pages 135-145.

    Cited by: 92|Bibtex|Views13|Links
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    Abstract:

    Density peaks clustering (DPC) algorithm published in the US journal Science in 2014 is a novel clustering algorithm based on density. It needs neither iterative process nor more parameters. However, original algorithm only has taken into account the global structure of data, which leads to missing many clusters. In addition, DPC does not...More

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