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    Article

    Clustering by differencing potential of data field

    Hierarchical clustering with data field can find clusters with various shape and filter the noises in data set without input parameters. However, its clustering process is complex and cannot effectively deal w...

    Shuliang Wang, Shaopeng Wang, Hanning Yuan, Qi Li, **g Geng, Yang Yu in Computing (2018)

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    Chapter and Conference Paper

    DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering

    In the clustering algorithms, it is a bottleneck to identify clusters with arbitrarily. In this paper, a new method DAPPFC (density-based affinity propagation for parameter free clustering) is proposed. Firstl...

    Hanning Yuan, Shuliang Wang, Yang Yu, Ming Zhong in Advanced Data Mining and Applications (2016)

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    Chapter and Conference Paper

    Mining Standard Land Price with Tension Spline Function

    Standard land price is an economical indicator for measuring land value. In this paper, we propose to use the tension spline interpolation function to mine standard land price. First, we extend the definition ...

    Hanning Yuan, Wenzhong Shi, Jiabing Sun in Advanced Data Mining and Applications (2005)

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    Chapter and Conference Paper

    A Try for Handling Uncertainties in Spatial Data Mining

    Uncertainties pervade spatial data mining. This paper proposes a method of spatial data mining handling randomness and fuzziness simultaneously. First, the uncertainties in spatial data mining are presented vi...

    Shuliang Wang, Guoqing Chen, Deyi Li in Knowledge-Based Intelligent Information an… (2004)

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    Chapter and Conference Paper

    Rough Spatial Interpretation

    Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of ...

    Shuliang Wang, Hanning Yuan, Guoqing Chen in Rough Sets and Current Trends in Computing (2004)