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fuzzycluster
- 是关于模糊聚类的c语言程序，效果不错的模，糊聚类分析 模糊聚类 聚类分析 FUZZY 模糊C-MATLAB
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
K-means
- K-means K聚类算法的C++语言实现，里面附有使用文档和实例，在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
fcm
- this code is thresholding image with fuzzy c-meam thresholding, it good result than Otsu method.
random-c
- C语言实现的随机数产生方法，对一些需要产生随机种子的程序有帮助。主要是包括均匀分布、高斯分布随机数的产生。-C language implementation of the random number generator means, for some procedures need to generate random seeds help. Mainly include the uniform distribution, Gaussian distribution generation.
cexam
- 模式识别中的c均值算法，可对100个随机样本数据进行不多于10的分类-C-Means Algorithm Pattern Recognition can be right 100 random sample data, the classification of not more than 10
JuLei
- c语言编写的 C均值 聚类算法源程序，速度很快-c language source code of the C-means clustering algorithm, very fast
fcm
- 采用模糊C均值对数据集完成聚类，并得到较好的结果-Using fuzzy C means clustering on the complete data set, and get better results
VCfcm
- 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-FCM algorithm is a clustering algorithm based on division, and its thinking that it is making is divided into the same cluster of the bigge
k-means
- k-均值聚类算法c语言版，经验证测试是可以运行
Cmeansclusteringmethods
- 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering metho
bpfcm
- C-均值聚类 BP神经网络信号分析与处理方法，对模拟产生的数据样本进行训-C-means clustering analysis and BP neural network signal processing method, the simulated data generated training samples
Genetic-optimization-of-C-clustering
- 运用遗传优化算法优化模糊C均值聚类，通过全局自适应寻优，寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
fuzzy-c-means
- 模糊C均值聚类算法，在C均值的基础上加入隶属度。-Fuzzy C-means clustering algorithm, on the basis of the C mean join the membership.
ICA-C-means
- improve c-means with Imperialist Competitive Algorithm
improved-fuzzy-c-means-clustering
- 该算法引入遗传算法对模糊c均值算法进行改进，并在iris数据集中进行实验验证，得到很高的正确率。-The algorithm genetic algorithm fuzzy c-means algorithm is improved, and focus on experiments in the iris data to obtain a high accuracy.
c_mean
- 模式识别中的c聚类算法，用来对不同类别的混合数据进行合理的分类。(Pattern recognition in the C clustering algorithm, used for different categories of mixed data for reasonable classification.)
模糊Ｃ均值聚类
- 该程序可以实现快速的点云的模糊C均值聚类，并且可以利用第二个命令对聚类后的点云进行自动提取。(The program can realize fast clustering of point clouds based on fuzzy C-means, and automatically extract the clustered point clouds by using the second command.)
c均值
- 模式识别c均值算法，较为简单的坐标分类。(C-means algorithm for pattern recognition, relatively simple coordinate classification.)
c+=
- k-means c++, 聚类算法-含代码说明。聚类（Cluster）分析是由若干模式（Pattern）组成的，通常，模式是一个度量（Measurement）的向量，或者是多维空间中的一个点。(k-means c++,Partitioning Methods,Hierarchical Methods,density-based methods,grid-based methods,Model-Based Methods)