不确定性分析是数据挖掘与知识发现的重要内容,对图像纹理特征数据挖掘的基本原理进行了分析、解释,从问题的求解、数据的产生、挖掘的过程以及最终的结果等几个角度分析了图像纹理特征数据挖掘中的不确定性,并讨论了目前不确定性问题分析与处理的若干方法,引入不确定性分析的有力工具--云模型,研究图像纹理特征数据挖掘中的不确定性,并给出了实验结果及分析。
Uncertainty analysis is very important in data mining and knowledge discovery. The definition of image texture feature data mining is interpreted. Based on this definition, the uncertainty in image texture feature data mining is analyzed, such as problem solving, data generation, mining process and the final result, and so on. Some methods to analyze and solve the uncertainty are discussed. Cloud model is introduced into image texture feature data mining, the uncertainty is studied, and then the result and some analyses of experiment are listed.