搜索资源列表
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
kfcm
- 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
1
- 基于核函数的聚类分析相关文献，十篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, ten of Repository.
2
- 基于核函数的聚类分析相关文献，多篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, many articles of Repository.
Clustering-algorithm
- 本文介绍了支持向量机基于核方法的聚类算法及其应用-This paper introduced the support vector machine based on kernel method for clustering algorithm and its application
kfcm
- 模糊核聚类算法的几篇文章还有其matlab的几个程序-Fuzzy kernel clustering algorithm several articles Matlab program
skms
- Semi-supervised Kernel Mean Shift Clustering Authors: Saket Anand, Sushil Mittal, Oncel Tuzel and Peter Meer-Semi-supervised Kernel Mean Shift Clustering Authors: Saket Anand, Sushil Mittal, Oncel Tuzel and Peter MeerSemi-supervised Kernel Mean Shi
hieararchical-clustering
- 基于核密度估计的层次聚类算法 -hierarchcial clustering with kernel density estimation
matlab
- 模糊核聚类图像分割，有很好的实例和码源，值得大家学习。-Fuzzy kernel clustering image segmentation, a very good examples and source code, worth learning.
kernel
- 用kfcm算法实现数据的聚类和分类效果。(Kfcm algorithm is used to achieve data clustering and classification results.)
onaatiohan
- By using the local regional information which has the ability to enhance the image, an improved active contour model based on level set method is proposed. Defining a novel SPF function with a nonnegative kernel function and local intensity cluste