搜索资源列表
c-junzhi
- 一个关于c均值的聚类源程序,在matlab下运行-one on the c-means clustering source, operating under the Matlab
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.
模糊c-均值算法是模糊聚类
- 模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一.经典FCM算法理论和应用的研究已经相当成熟,Bezdek业已证明算法的收敛性[6],许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等).但是传统FCM算法处理的是普通数据集,不能直接处理区间数,得到的聚类原型也不是区间数.针对区间数,一种直觉的方法是分别对左区间值和右区间值作FCM,并把得到的聚类原型分别作为区间型聚类原型的左右区间值,但这种方法已经被证明是行不通的[6]-fuzzy c-means cluster
C-mean
- 模糊C均值算法的m文件带自己的解释,希望能给大家一点学习上的帮助。 -fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.
c-means+isodata
- C均值算法,ISODATA算法综合,属于模式识别
c-mean
- C-means 算法,模式识别中常用到的C均值聚类算法,使用VC开发,版权归开发者所有
C均植
- 模式识别中关于C均值的聚类算法的程序,输入点进行聚类.-pattern recognition on the C-means clustering algorithm procedures input cluster.
c-均值算法
- 模式识别中的C均值算法演示程序,具体内容见说明文档,及效果图。 自我感觉还可以,请大家帮忙,提提意见。-pattern recognition algorithm in C - Means Demonstration Program, the specific content of documentation, and effectiveness map. A sense of self can, please help make a suggestion.
C-means-classification
- C均值分类算法代码,在MALAB环境下可以实现分类。-C-means classification algorithm code, under the environment of MALAB classification can be achieved.
Fuzzy-C-means-Implementation
- this file tell about Fuzzy C-means implementation
Fuzzy-C-Means-Clustering
- Fuzzy C-Means Clustering
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
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
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.
模糊C均值聚类(FCM)
- 模糊C均值聚类,matlab程序,简单易懂,程序可以运行。(Fuzzy C means clustering, Matlab code, easy to understand, the program can run.)
Fuzzy C-Means.ipynb
- Fuzzy C-Means CLustering
直觉模糊C均值聚类
- 对所获取的数据进行无监督的直觉模糊C均值聚类(intuitionistic fuzzy C-means clustering)
fuzzy c-means
- 基于fuzzy c-means(FCM)的无监督模糊聚类算法,输出值有:各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat,点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function
FCM-master
- ThS. De tai nghien cuu thuat toan gom cum mo Fuzzy C Means
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.)