Abstract
In this study, regional analysis based on a limited number of data, which is an important real problem in some disciplines such as geosciences and environmental science, was considered for evaluating spatial data. A combination of fuzzy clustering and non-parametrical statistical analysis is made. In this direction, the partitioning performance of a fuzzy clustering on different types of spatial systems was examined. In this way, a regional projection approach has been constructed. The results show that the combination produces reliable results and also presents possibilities for future works.
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Tütmez, B., Kaymak, U. (2013). Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_24
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DOI: https://doi.org/10.1007/978-3-642-33042-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33041-4
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