搜索资源列表
FuzzyC-Means
- 模糊c均值,m值，误差限，迭代次数由用户自己输入，聚类效果好。-fuzzy c-means, m value, the error limits, the number of iterations user input, clustering effects.
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
3333333
- C均值算法的实现，他是聚类的常见的应用，适合于学习模糊数学的人学习，在VC6.0中运行并通过。-C-means algorithm, he is the common clustering applications, suitable for fuzzy mathematics learning to learn, in VC6.0 run and do pass.
fcm
- this code is thresholding image with fuzzy c-meam thresholding, it good result than Otsu method.
FuzzyCMeansClustering_v[1].0.2
- Fuzzy C-Mean Clustering algorithm implementation in c sharp
COMPACT
- k-means clustering algorithm, C means Fuzzy clustering algorithm-k-means clustering algorithm, C means Fuzzy clustering algorithm...
FuzzyCMeans
- realization of the fuzzy c-means algorithm
senie09
- Fuzzy C means to segmentate an image whit skin cancer
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
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
CreateTree
- Fuzzy C means clustering
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
K-Means
- K-means 算法的一种C# 实现,数据挖掘聚类算法-K-MEANS ALGORITHM
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.)