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In order to improve the accuracy of fuzzy clustering of datasets with missing attributes, a hybrid clustering algorithm is proposed in this paper. The algorithm determines the estimation intervals of missing attributes by the Nearest Neighbor method and the ranges of cluster centers by seeking the maximum and minimum of attributes, which constitute the constraint space together. Under the space, the...
In this paper, it firstly establishes the assessment contents on uncertainty of multi-scale representation of point cluster around the process of multi-scale representation of point cluster and its spatial analysis, which includes positional uncertainty and uncertainty of spatial analysis conclusions; the assessment index K and the quantitative model of positional uncertainty related to point cluster...
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