搜索资源列表
MATLABfuzzy-K-means
- MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
fuzzycluster
- 这是一个模糊聚类代码（matlab）供大家学习-This is a fuzzy clustering code (Matlab) for all study
work
- 模糊聚类分析方法的matlab程序，包括标准化，标定以及聚类等几个子程序，还有一个研究生的考试成绩的例子。
FCM
- 模糊聚类分析传递闭包算法FCM的matlab程序，能对数据进行分类处理
FuzzyClusteringAnalysis
- 模糊聚类分析的实现算法 部分为matlab源码
bibao
- 闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)
fuzzykernal
- 模糊核聚类 matlab
FuzzyCMean.zip
- 图像处理 模糊C均值算法 MATLAB代码 压缩包解压时没有密码,Image processing fuzzy C means algorithm MATLAB code extracting compressed package without a password
FuzzyCMean.rar
- 模糊c聚类代码，聚类方法的一种，可用于镜头检测等方面,Fuzzy c clustering code
FCM
- 模糊均值聚类 MATLAB程序,基于欧式距离的模糊C均值聚类，有效输出隶属度矩阵。-FCM
modvalidity
- 利用模糊聚类原理，Matlab工具完成对象识别，仿真成功-Using the fuzzy theory, Matlab tools to complete object recognition, simulation success
fcm
- 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
Fuzzyclustering
- 模糊核聚类算法的几篇论文及matlab源码，供大家学习交流-Fuzzy clustering algorithm several nuclear dissertation and matlab source code for the U.S. study COMMUNICATION
EFCM
- 在ECM的基础上加入了模糊关系，使得分类聚类效果更好-At the basis of ECM add on fuzzy relations, classification clustering makes better
RepeatFCM
- 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-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest simila
mh
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
FCMClust
- 采用模糊C均值对数据集data聚为cluster_n类-Fuzzy C-means data sets of data together for cluster_n category
fcm_color
- 模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
fcm
- 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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- kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法-kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms