机译:区间值可能性模糊C均值聚类算法。
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;
Shaanxi Provincial Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China,Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, The University of Sydney, NSW 2006, Australia;
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;
Fuzzy C-means; Possibilistic C-means; Type-2 fuzzy sets; Interval-valued fuzzy sets; Clustering; Image segmentation;
机译:使用R-Tool查找低绩效者的模糊C均值和模糊可能性C均值算法的实现
机译:迈向数据分类的混合聚类方法:基于多个核的区间值模糊C均值算法
机译:基于SVM的肿瘤分割的基于SVM的可能性模糊C-means聚类算法
机译:数据聚类的可能性和模糊可能性C均值聚类算法研究
机译:一种遗传算法,可交换相邻中心进行模糊c均值聚类。
机译:使用直觉可能性模糊C均值聚类和模糊SVM算法的医学图像中有效的分割和分类系统
机译:模糊C-ilens和Positibiliristic C-Means聚类算法的实现,群集趋势分析和集群验证
机译:模糊稳健统计量在模糊c-均值聚类算法中的应用