1) multitemporal fuzzy kernel cluster
多时相模糊核聚类
2) fuzzy kernel clustering
模糊核聚类
1.
SVM multi-class classification based on fuzzy kernel clustering;
基于模糊核聚类的SVM多类分类方法
2.
In the paper,we presented a modified fuzzy kernel clustering algorithm for MR image segmentation.
在传统的模糊聚类算法中引入了核函数,同时引入了控制邻域作用的约束项,提出了改进的基于模糊核聚类的MR图像分割新算法。
3.
A method for infrared image segmentation based on fuzzy kernel clustering using spatial relation was proposed.
提出了一种基于空间约束的模糊核聚类红外图像分割算法。
3) Kernel Fuzzy Cluster Method(KFCM)
核模糊聚类
1.
It is used Kernel Fuzzy Cluster Method(KFCM) as segment algorithm.
根据上述过程所获得的色彩-纹理特征,采用核模糊聚类方法实现彩色图像的自动分割。
4) semi-fuzzy kernel clustering
半模糊核聚类
1.
Aiming at problems existing in the area of multi-class pattern recognition with large number of catalogs,a hypersphere support vector machine classification method based on semi-fuzzy kernel clustering is proposed.
针对支持向量机在大类别模式分类中存在的问题,提出了一种基于半模糊核聚类的超球支持向量机分类方法。
2.
Aimed at the problems of support vector machines(SVM) for multi-class pattern recognition with large number of catalogs,a new method of hyper-sphere SVM multi-class classification based on semi-fuzzy kernel clustering is proposed.
针对支持向量机(SVM)在大类别模式分类中存在的问题,提出了一种基于半模糊核聚类的超球SVM分类方法。
6) kernel fuzzy clustering means
核模糊聚类法
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