FFC-SFCA exhibits its robustness and capability to obtain well separable clustering results. In addition, optimal discriminant vector and threshold of classifier can also be figured out.
FFC-SFCA的优势在于具有很好的鲁棒性且可以获得可分性好的聚类结果,同时,可以求得最优鉴别矢量和分类阈值。
参考来源 - 基于模糊Fisher准则的半模糊聚类算法·2,447,543篇论文数据，部分数据来源于NoteExpress
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