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  1. No Access

    Article

    Density Based Cluster Growing via Dominant Sets

    Although there are a lot of clustering algorithms available in the literature, existing algorithms are usually afflicted by practical problems of one form or another, including parameter dependence and the ina...

    Jian Hou, Xu E, Weixue Liu in Neural Processing Letters (2018)

  2. No Access

    Chapter and Conference Paper

    Clustering Based on Dominant Set and Cluster Expansion

    While numerous clustering algorithms can be found in the literature, existing algorithms are usually afflicted by two major problems. First, the majority of clustering algorithms requires user-specified parame...

    Jian Hou, Weixue Liu in Advances in Knowledge Discovery and Data Mining (2017)

  3. Chapter and Conference Paper

    Density Based Clustering via Dominant Sets

    While density based clustering algorithms are able to detect clusters of arbitrary shapes, their clustering results usually rely heavily on some user-specified parameters. In order to solve this problem, in th...

    Jian Hou, Weixue Liu, Xu E in Artificial Neural Networks in Pattern Recognition (2016)

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