搜索资源列表
FCMClust
- 采用模糊C均值对数据集data聚为cluster_n类-Using Fuzzy C-Means dataset data gathered for cluster_n classes
vb
- vb模糊数学基础及实用算法：包括各种基于模糊数学算法编写的VB程序，例如模糊综合评判、模糊类聚-vb fuzzy mathematical foundations and practical algorithms: the variety of VB program written based on fuzzy mathematical algorithms, such as fuzzy comprehensive evaluation
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
FCM
- 采用FCM(模糊C均值)算法将数据集data聚为cluster_n类.-Using FCM (Fuzzy C-Means) algorithm dataset data clustered into cluster_n class.
源码
- 对最大稳定颜色区域算法的验证,过查看图像像素的聚集聚类的连续时间步骤来完成对颜色的扩展。 通过对边缘幅度的分布进行建模，对强度缩放和图像模糊来稳定时间步长的选择。(Verification of algorithm for maximum stable color region)
FCM
- 实现灰度图像的模糊C均值聚类，并显示迭代次数和迭代结果(The fuzzy C mean clustering of gray image is realized, and the number of iterations and iterations are displayed.)
TRYPW24
- 模糊c均值,m值,误差限,迭代次数由用户自己输入,聚类效果好,()
fuzzycm
- FCM（模糊c均值聚类函数）的一个实例，通过matlab实现这一经典的模糊算法(An example of FCM based on matlab)
ISAMaceertance
- 模糊核聚类源码,用matlab编写的,另外还包括一些相应文章()
2.2 图像分割技术
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to mak
用FCM实现分割
- 基于模糊C-均值聚类算法的图像分割，消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
FCMClust
- 实现对点云的分类,利用该算法可以自动化的实现点云的分类(point cloud classification)