Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag Berlin
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
6th International Conference on Soft Methods in Probability and Statistics -- OCT 04-06, 2012 -- Konstanz, GERMANY
Anahtar Kelimeler
Fuzzy clustering, rank correlation, spatial data
Kaynak
Synergies of Soft Computing and Statistics For Intelligent Data Analysis
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
190
