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The advantages of both grey clustering method and fuzzy ISODATA method were analyzed and colligated. First, the decision-making evaluation results of uncertainty system with small sample were acquired with grey clustering method. Then, applying the fuzzy ISODATA model to learn and revise the results of above grey clustering, an optimal fuzzy classification could be produced through iterative operation...
Hybrid classification model is currently an active research area and successfully solves classification problems in credit scoring. Finding effective classificatory models is important. Classification in credit scoring has been regarded as a critical topic, with its related departments collecting huge amounts of data to avoid making the wrong decision. Filter feature selection model is important in...
The present paper deals with the land cover classification of high resolution IKONOS images using multi-feature fusion, which is the traditional optical features analysis combined with texture feature analysis. The study area covers the residential region of the urbanized environment of Beijing, China. Different optical features including grey data in different layers and texture features contains...
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