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Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
In this paper, we present an approach of using their overlapping instances to derive corresponding attributes between heterogenous spatial datasets for integrating them. The approach consists of three basic steps. Firstly, the overlapping entity instances between heterogeneous spatial datasets are determined by means of geometrical matching. Secondly, attribute similarity, which is expressed by a...
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