搜索资源列表
FCM-code
- image segmentation using Fuzzy C Means Clustering algorithm
k-means
- 聚类算法 ,希望是有用，可以在上面看到c语言的代码-Clustering algorithm, hope to be useful, you can see in the above code in c language
vector_quan
- A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahalanobis Distance -A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahal
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）
Code_FCM
- Matlab code for Fuzzy C-Means Segmentation Algorithm
k-means
- 利用k-means方法对图像进行分类（matlab程序和c++程序），如对遥感图像分辨出河流、树木等，需要自己定义所处理图片位置，还有将分类的图片进行彩色区分-The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the
FLICM
- 基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
ACA_FCM
- 蚁群算法优化模糊c均值聚类，非本人原创，大家共同学习-Ant colony algorithm to optimize fuzzy c-means clustering, non-my original, we learn together
MFISH
- Segmentation of M-FISH Images for Improved Classification of Chromosomes with an Adaptive Fuzzy C-means Clustering Algorithm
NL-Means
- Non-local means算法由A. Buades, B. Coll, J.M Morel提出。该算法的主要参考文献为： A. Buades, B. Coll, J.M Morel, A review of image denoising algorithms, with a new one , Multiscale Modeling and Simulation (SIAM interdisciplinary journal), Vol 4 (2), pp: 49
K-means-and-iterative
- 图像的K均值与迭代处理,k-均值聚类是一种动态聚类，又称“C-均值算法”。-Image k-means and iterative processing
fcmthresh
- Fuzzy c-means thresholding用于图像分割，有示例图，可以运行-FCMTHRESH Thresholding by 3-class fuzzy c-means clustering [bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often wo
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
- re-upload thesis of segmentation using fuzzy c-means and rfm model
FCMClust
- C均值聚类，具有对多种类进行分类的能力，运算采用迭代方式-C-means algorithm
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
Cjunzhi
- C均值算法的基本思想即是通过迭代寻找c个聚类的一种划分方案，使得用这c个聚类的均值来代表相应各类样本时所得到的总体误差最小-The basic idea of C-means algorithm that is looking for a classification scheme through an iterative c clusters, making the overall error when using the average of these c cl
GAFCM
- matlab编写的遗传算法优化的模糊C均值聚类算法-genetic algorithm optimize Fuzzy C means algorithm
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.
Implementation-of-algorithm-of-k-means-on-cSharp.
- Implementation of algorithm of k-means on c#