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  1. No Access

    Article

    A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction

    As a novel clustering method, affinity propagation (AP) clustering can identify high-quality cluster centers by passing messages between data points. But its ultimate cluster number is affected by a user-defi...

    Hongjie Jia, Shifei Ding, Lingheng Meng, Shuyan Fan in Neural Computing and Applications (2014)

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    Article

    The latest research progress on spectral clustering

    Spectral clustering is a clustering method based on algebraic graph theory. It has aroused extensive attention of academia in recent years, due to its solid theoretical foundation, as well as the good performa...

    Hongjie Jia, Shifei Ding, **nzheng Xu, Ru Nie in Neural Computing and Applications (2014)

  3. No Access

    Article

    Research of semi-supervised spectral clustering algorithm based on pairwise constraints

    Clustering is often considered as an unsupervised data analysis method, but making full use of the prior information in the process of clustering will significantly improve the performance of the clustering al...

    Shifei Ding, Hongjie Jia, Liwen Zhang, Fengxiang ** in Neural Computing and Applications (2014)

  4. No Access

    Article

    Research of semi-supervised spectral clustering based on constraints expansion

    Semi-supervised learning has become one of the hotspots in the field of machine learning in recent years. It is successfully applied in clustering and improves the clustering performance. This paper proposes a...

    Shifei Ding, Bingjuan Qi, Hongjie Jia, Hong Zhu… in Neural Computing and Applications (2013)