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FCM
- matlab实现模糊C均值算法对样本进行分类。附件中国有样本库。- matlab in fuzzy c means in sorting
fcmMATLAB
- 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，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。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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
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
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.
kmeans
- 《模式识别》课本中的一道课后题的代码实现 C均值算法 也叫做 K means- Pattern recognition in the textbook of a class of code to achieve the C algorithm is also called means K
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.
Fuzzy-C-means-algorithm
- 模糊C均值聚类算法用于图像分割，可以直接应用-Fuzzy C-means clustering algorithm for image segmentation, can be directly applied
44444
- 用C实现的C均值算法，和c++相比也有所不同，希望学C的可以学习，在Linux下的eclipse中运行通过-C of C with the realization of the mean algorithm, and c++ Different compared to the hope that science can learn the C in Linux to run under the eclipse through
fuzzy-c-means-clustering
- 用于高维数据或者多维图像的模糊C均值聚类算法-Used for army fuzzy c-means clustering high-dimensional data
fcm(MATLAB)
- 基于模糊C-均值算法数据流聚类分析，这里面没有运用matlab自带的fcm子模块，是自己编写的源代码，亲测能运行-It is a good programme on fuzzy C algorithm, it is very good .
cclassify
- 把许多点分成n类，n由用户输入，采用c均值算法-Putting points into n groups, n input by the user, using c-means algorithm
pattern
- Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
Repeat-FCM
- 模糊c均值算法 数据挖掘 机器学习中可使用的一种简单聚类算法-FCM in data mining or machine learing
suanfaFUZZCLUST
- 基于 MATLAB 模糊C均值算法，有用的算法代码-Fuzzy C-means algorithm based on MATLAB and useful algorithm code
gdKFCM
- 基于 MATLAB 核图像模糊C均值算法，有用的代码。-Based on MATLAB nuclear image fuzzy C-means algorithm, useful code.
FCM.m
- 使用模糊C均值算法对数据集进行聚类分析，效果良好。(The fuzzy C means algorithm is used to cluster the data sets, and the results are good.)
新建文件夹
- FCM模糊C均值算法MATLAB程序，用于进行特征分析、数据分析等。(FCM fuzzy C mean algorithm MATLAB procedures)
计卓1501-20151222104杨孟新
- 最大最小聚类算法，C均值聚类算法，两种算法的具体实现。(Maximum and minimum clustering algorithm, C mean clustering algorithm)
2.2 图像分割技术
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the obj