搜索资源列表
FCM_Step
- the steps of fuzzy c means algorithm which is coded in matlab
PIM-fuzzy-c-means
- Partition index is a measure ofvalidity similar to partition coeGcient, based on using Pj = ci=1 (uij)m as a measure ofhow well the jth data point has been classi- 2ed. The closer a pixel is to a codebook entry, the closer Pj is to one. Ifa
FCM-clustering-MATLAB-code
- FCM fuzzy c-means clustering algorithm and MATLAB code
69b2bf05df5a
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数--MATLAB fuzzy C-means clustering to achieve, which contains 10 MATLAB functions-
Code_FCM
- Matlab code for Fuzzy C-Means Segmentation Algorithm
tiejindu
- 这是模糊C均值聚类求出聚类中心以后，待检测样本与聚类中心的贴近程度的计算程序-This is the fuzzy C-means clustering obtained after the cluster center, close to the level of the sample to be detected and clustering center calculation program
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
CMean
- 模糊数学C均值算法实现,Visual stdio 2010编写，C++语言实现。-Fuzzy C-means algorithm, Visual stdio written in 2010, C++ language.
FCMClust
- 模糊C-均值评价分析,能够对目标函数进行系统的模糊评价分析，得到可靠的计算结果-Fuzzy C- Means uation and analysis system capable of objective function fuzzy uation and analysis, reliable results
gafcm
- 这是遗传算法改进的模糊C-均值聚类MATLAB源代码,由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
fth
- FTH is a fuzzy thresholding method for image segmentation. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the regions
KFCM_-Gaussian
- 采用高斯核的模糊C均值聚类代码，仿真论文时验证可使用，含文档示例结果-Gaussian kernel fuzzy C-means clustering code, the use of simulation papers, containing examples
1754-1587-1-PB
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
906-2847-1-PB
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
Data-Beban
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
databeban.dat
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
Source-Code-FCM
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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.
FCM
- Data clustering by using Fuzzy c means, where c means number of cluster, m means weight of membership function matrix, X means data input.
fuzzyC
- 利用模糊C均值来分割图像成3个部分.会计算分割面积-use fuzzy c means to segment an image into 3 region of interest.