搜索资源列表
fcm-test
- 模糊聚类iris标准数据测试。。。采用fcm方法。-Fuzzy clustering iris standard test data
fcm
- fcm模糊聚类算法程序，包括聚类中心更新，分类矩阵更新-fcm fuzzy clustering algorithm
FCM
- FCM，C模糊聚类算法，用于图像分割处理，是原创matlab代码。-FCM C means matlab algorithm
FCM
- 基于fcm的图像分割算法，可以基于此进行修改改进-Image segmentation algorithm based on FCM method
FCM-used-for-image-segmention
- 基于FCM的图像分割算法，先对图像平滑，然后利用FCM对像素聚类，实现对图像的分割。-A methord based on FCM for image segmenting,firstly,using filter to smooth the image and the use the rule of FCM clustering pix finshing image segmention
FCM-based-on-equal-relation
- FCM的一种实现方式基于模糊等价关系的聚类，需要建立传递闭包，适合初学模糊理论的同学练习。-a relation for clustering based on fuzzy equation ,which need formte pass relation ,it is useful for student who is learning FCM
FCM
- 在VS2010环境下用c++实现使用FCM模糊聚类分割图像,-FCM image segmentation using fuzzy clustering
fcm
- 该源码是基于划分的模糊聚类算法，matlab带有自己的fcm算法，此次上传的算法是自己编写的-The source is divided based on fuzzy clustering algorithm, matlab with its own fcm algorithm, the upload algorithm is written in their own
fcm-MATLAB
- FCM,模糊C均值聚类的MATLAB实现-FCM matlab
fcm-evlo
- 用于图像分割，基于fcm算法的图像分割，实现模糊均值聚类的分割，更准却的实现分割。-For image segmentation, image segmentation based on FCM algorithm, the realization of fuzzy clustering segmentation, more accurate but to achieve segmentation.
FCM
- FCM clustering Algorithm
FCM
- 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。-FCM algorithm is a clustering algorithm based division, which makes the idea is to be divided among a cluster of objects with the greatest similarity, but the similarity between different clus
FCM
- matlab中FCM分类的代码，是我看过代码中，相对简单的，适合初学者使用-FCM classification code in matlab, I have seen the code, relatively simple, suitable for beginners
FCM
- 关于减法聚类和FCM的融合程序，室内定位算法。-Subtraction clustering algorithm
FCM
- 这是FCM源程序的解读，很详细。包括每段代码的含义。-This is FCM to the understanding of the source program, very detailed. Including the meaning of each piece of code.
FCM
- matlab实现在端元已知时fuzzy c-means 算法混合像元分解，并根据测试点进行精度评定-matla code of FCM for mixed pixels unmixing
FCM-clustering-MATLAB-code
- FCM fuzzy c-means clustering algorithm and MATLAB code
Algorithms-for-FCM
- 模糊聚类方法在C均值聚类算法中的应用研究；作者: Sadaaki Miyamoto-Algorithms for Fuzzy Clustering Methods in c-Means Clustering with Applications Studies in Fuzzine（FCM）
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class