搜索资源列表
isodata.rar
- 通过idl编程实现图像的isodata分类算法，结果表明isodata在图像分类中可以取得较好的结果。,Idl programming through ISODATA image classification algorithm, ISODATA results show that in image classification can be achieved better results.
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- C均值算法的实现，他是聚类的常见的应用，适合于学习模糊数学的人学习，在VC6.0中运行并通过。-C-means algorithm, he is the common clustering applications, suitable for fuzzy mathematics learning to learn, in VC6.0 run and do pass.
fcm
- 在VC开发环境下实现的模糊C均值算法（FCM）,功能已经通过测试。-VC development environment in the realization of the fuzzy C-means algorithm (FCM), features have been tested.
FCM
- 模糊c均值算法，该代码可实现脑肿瘤的分割，效果不错。代码中的GUI直接运行好像有问题，要重新编译。-this code is about FCM.it can carry out the segmentation of brain tumor .the GUI need to compile at the beginning and cannot use it directly
FCM_CPP
- 模糊C均值聚类算法（FCM）的VC++实现-Fuzzy C means clustering VC++ Implementation
FCM
- 使用C++完成的模糊C均值聚类算法的实现-FCM algorithm document
fcm
- 采用模糊c均值聚类算法用以实现对图像的分割，以利于人们的研究处理-Fuzzy c
muhujuleituxiangfenge
- 算法目的：通过模糊c-均值（FCM）聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
Fuzzy-C-means-clustering
- 模糊C均值聚类算法的C++实现代码模糊C均值聚类算法的C++实现代码-Fuzzy C means clustering algorithm C++ implementation code fuzzy C means clustering algorithm C++ implementation code
C-means-clustering-algorithm
- 利用C++实现C均值聚类算法。模糊c均值聚类算法因算法简单收敛速度快且能处理大数据集，解决问题范围广，易于应用计算机实现等特点受到了越来越多人的关注，并应用于各个领域。-C means clustering algorithm in C++
FCM-matlab
- Matlab版本的模糊C均值算法实现，对研究聚类的同学很有用！欢迎下载！-FCM about matlab,source code,it is useful to you if you research this field ! welcome to download it!
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
fcm
- 用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割-Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation
模糊C均值算法
- 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
模糊c均值聚类算法
- 模糊c均值聚类算法的实现，还有相对的测试数据集(Fuzzy C-Means clustering algorithm)
fcm算法解释
- 包含基于matlab的粗糙模糊c均值算法实现及相关解释说明(Include matlab based programs and instructions)
FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor
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.)
BCFCM2D
- 偏移场矫正模糊c-均值算法的matlab代码实现。运用于通向分割及偏移场估计。(bias filed corrected)
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)