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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...
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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...
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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 ...
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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...
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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 ...