实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
结果：指标变量经聚类变换后，资料总体更接近于正态分布。
Results: After variate transformation by clustering, the data was more similar to normal distribution.
在抗病性鉴定中，基于单基因系的代表菌株选择，可考虑应用聚类和变量分析法进行。
Based on the monogenic differentials, cluster and variance analysis method might be applied for the representative isolates selection in the blast resistance evaluation.
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