搜索资源列表
FCMclust
- 模糊C均值聚类算法 这是最原始的 包里含有试验用到的图片 可运行得出结果 matlab程序-Fuzzy C-means clustering algorithm which is the most original bag containing the test images used to run matlab program outcome
FCM
- 自己实现的,模糊C均值聚类的代码,在K-mean上添加了隶属度矩阵。注释详细,方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
cmean
- 聚类算法中的C均值聚类算法,课自己设定数值和分类数,输出聚类结果-Clustering algorithm C-means clustering algorithm, set their own values and lessons classification number, the output clustering results
Cjunzhi
- 聚类算法之C-均值聚类算法聚类算法
PR
- 各种模式识别算法源码,包括c均值聚类,层次聚类,fisher判决器,贝叶斯判决,神经网络等算法-Pattern recognition algorithm source code, including c-means clustering, hierarchical clustering, fisher judgment, a judgment Bayesian neural network algorithm
cppVersion
- 模式识别C++ K均值算法,采用容器,对数据进行分类-k_means arithmetic
FCM
- 模糊C均值的改进算法,详细介绍了改进过程和原算法的原理,具有很好参考价值-Improved Fuzzy C- Means algorithm , described in detail the principles to improve the process and the original algorithm has a good reference value
FCM
- 模糊C均值聚类算法过程,C语言编写,有测试数据-Fuzzy C-means clustering algorithm process, C language, test data
GUI-based-on-Matlab
- 遗传算法改进的模糊C-均值聚类MATLAB源码。用单纯形法来做的-Improved genetic algorithm fuzzy C- means clustering MATLAB source. To do with the simplex method
fuzzycm
- 模糊c均值聚类 FCM算法的两种迭代形式的MATLAB代码。-Fuzzy c-means clustering algorithm FCM two iterative form of MATLAB code.
Julei
- 基于MFC框架实现了C均值聚类算法,感知器训练。-Based on the MFC framework implements the c-means clustering algorithm, perceptron training.
FCMC
- 模糊C均值聚类算法 可直接运行-Fuzzy C-means clustering algorithm can be run directly. . .
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)
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.
matlab
- 聚类基本算法代码,包含层次聚类,简单聚类,c均值,KNN等-Clustering basic algorithm code, including hierarchical clustering, a simple cluster, c mean, KNN, etc.
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
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
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
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
Code-Segmentation
- 基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的,而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法,其中模糊c均值(FCM)是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响,因而使用加权模糊c均值(WFCM)来解决这个问题。-Optimal threshold image se