FFC-SFCA incorporates Fisher discrimination method with fuzzy theory using fuzzy scatter matrix. By iteratively optimizing the fuzzy Fisher criterion function, the final clustering results are obtained.
FFC-SFCA通过模糊化散布矩阵,将模糊理论引入Fisher判别方法,通过对模糊Fisher准则函数迭代优化实现聚类。
参考来源 - 基于模糊Fisher准则的半模糊聚类算法In the dissertation, based on the novel feature criterion function, we apply the function into feature learning clustering to counteract the negative affects by given feature weights wrongly.
基于新的特征评价函数，运用于特征学习聚类中，以解决特征权值取值不当对聚类产生的负面影响。
参考来源 - 聚类中的特征学习研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A global criterion function is used to control the growth of the decision tree.
文中使用一个全局准则函数控制决策树的增长。
In this paper, the identifiable conditions are derived from the representative criterion function and their application scope is given.
本文根据有代表性的准则函数推演出大地测量反演参数可辨识条件，给出其适用范围；
In this research hierarchical clustering algorithm is used with a newly defined criterion function, and it can cluster data without known cluster number.
文章采用分层聚类算法，定义了新的准则函数，同时解决了确定星座点实际位置和星座点数目的问题。
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