With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
Using surrogate function, we split the sum minimization scheme to the minimizing weighted least square function and TV denoising with weighted norm iteratively.
该模型求解时，首先通过引入代理函数将原问题解耦为残差的加权范数最小化和加权范数TV去噪这两个子问题；
Using surrogate function, we split the sum minimization scheme to the minimizing weighted least square function and TV denoising with weighted norm iteratively.
该模型求解时，首先通过引入代理函数将原问题解耦为残差的加权范数最小化和加权范数TV去噪这两个子问题；
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