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- W2235155791 abstract "It is necessary to classify numerical values of spatial data whenrepresenting them on a map and visually understanding it. In consequence, loss ofinformation from original data is inevitable in the process of this classification. Agate loss of information might lead to a misunderstanding of the nature of originaldata. In this study, a classification method of spatial data is proposed, in which theloss of information is minimized. Comparing our method with other existingclassification methods, some new findings are shown." @default.
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- W2235155791 date "2002-01-01" @default.
- W2235155791 modified "2023-09-24" @default.
- W2235155791 title "Classification methods for spatial data representation" @default.
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