搜索资源列表
BCFCM2D
- 图像处理fuzzy C-means算法的源代码-Image processing fuzzy C-means algorithm source code
fcmfiltwa
- 用类Cluster实现一维数据的模糊C均值聚类，可在VC＋＋和BC++下使用-Class Cluster fuzzy C-means clustering, one-dimensional data can be used in VC++ and BC++
KFCMPLS
- These papers are several hybrid methods based on integration of KFCM (kernel-based fuzzy c-means) and level set.
FCM
- FCM算法，基本的分类算法，很好用，有例子直接仿照操作。-FCM Data set clustering using fuzzy c-means clustering.
fcm
- programme de classification fuzzy c-means
matlab
- 基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
KFCM
- 利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
FCMatlab
- This program is kind of data classification, namely FCM (Fuzzy C-Means Clustering) algorithmm.
cmath
- 模糊识别，C均值算法。程序简单界面美观，实现在C**Dlg.cpp中。在程序交互界面中，可以动态输入任意数量的随机数和分成任意类别（我只设了10种画笔，可自己增加）。用VS08编译，可自己升级VS10。算法里当分为N类，我把前N个随机数初始化给N类。也可以自己改下把所有随机数中距离最远的N个随机数初始化给N类（非常简单），这样更加完美-Identify fuzzy C-means algorithm. Procedures simple and beautiful interface to ac
FCM-for-EEG
- 模糊C均值脑电分类并使用了支持向量机对比，其中支持向量机使用了三种方法参数寻优。-fuzzy C means clustering for EEG classification，and use the SVM for campare. The SVM applied three methods to find the optimal apartments.
Data-Classification-and-Recognition
- 提出一种基于模糊C 均值的支持向量机分类算法，通过模糊C 均值算法对未知类别数据 进行划分，然后再利用支持向量行对划分后的数据机进训练。解决了以往人们应用支持向量机进行 数据分类识别前必须采用已知类别的数据对支持向量机进行训练的弊端，提高了数据分类的效率。-Support vector machines classification algorithm is proposed based on Fuzzy C-Means, Fuzzy C-Means algorithm unknown
codes
- Fuzzy C-means Matleb source code
fuzzycmeans
- fuzzy c means for image segmentation
fuzzy_c_mean
- 本程序对二维图像可实现模糊C均值聚类，默认聚类为4.-The procedures for the two-dimensional image can be realized fuzzy C-means clustering, the default clustering for 4.
yichuanFCM
- 这是一个MATLAB程序，主要实现的用遗传算法来改进模糊C－均值聚类。-This is a MATLAB program, mainly achieved using genetic algorithms to improve fuzzy C-means clustering.
FCM
- 模糊C均值聚类（FCM）的matlab代码，包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
3Vol27No1
- A COMPARATIVE ANALYSIS BETWEEN K-MEDOIDS AND FUZZY C-MEANS CLUSTERING ALGORITHMS FOR STATISTICALLY DISTRIBUTED DATA POINTS
FCM
- 利用模糊C均值图像分割，并显示分割后的图像-Fuzzy C-means image segmentation, and display the image after the split
fourdirectionedge2
- 将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图，用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the
FCM_rgb
- 模糊C均值聚类算法,将RGB图像转换到HSI空间时进行聚类-Clustering fuzzy C-means clustering algorithm, the RGB image is converted to HSI space