搜索资源列表
fcm.rar
- 模糊聚类的matlab程序，有详细注释，对初学者很有用,FCM
GA-FCM.rar
- 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
fcm
- 一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
subfcm
- 该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。-The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to
fcm
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
FCM
- 此算法是基本聚类算法，经过验证，此算法很很好的运行。对于初学聚类者来说，此算法很有用-This algorithm is a basic clustering algorithm, after verification, the algorithm runs very good. Clustering for learning are concerned, this method is very useful
FCM
- 在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
FCM_Ju_lei_suan_fa
- 该文件包含了一般的FCM聚类算法和改进的FCM聚类算法-The document contains a general FCM clustering algorithm and the improved FCM clustering algorithm
FCM
- 采用不同算法编的一些模糊C-均值聚类（FCM）的matlab程序。-Compiled using a number of different algorithms of fuzzy C-means clustering (FCM) in the matlab program.
fcm
- 模糊C-均值聚类方法的原函数，不用再进行编写，直接可以哄-the function of FUZZY C CLUSTERING
FCM
- FCM算法，清晰明了，很好的呈现了模糊C均值聚类算法的过程，注解 非常清楚！！(FCM suan fa,hen hao de xheng xian le mo hu c jun zhi ju lei suan fa de guo cheng ,zhu jie fei chang qing chu .)
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.)
FCM
- 一个模糊C均值聚类算法的matlab程序。程序中自带数据生成函数。(A fuzzy C means clustering algorithm matlab program. Program comes with data generation function.)
FCM
- 实现模糊c均值聚类 全套的matlab代码(Implementation of fuzzy C means clustering)
FCM聚类算法介绍
- 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。(FCM algorithm is a kind of clustering algorithm based on division. Its idea is to make the objects that are divided into the same cluster have the highest similarity, and the similarity among
FCM聚类
- FCM聚类分析matlab代码可进行模糊c聚类分析！(FCM clustering analysis of matlab code for C fuzzy cluster analysis!)
FCM
- 使用模糊C均值聚类（FCM）的方法对状态进行分类，其优点首先是可以根据实际情况自动确定聚类中心，减少人工干涉的因素，其次，对状态特征参数不是进行硬分类，而是通过隶属度的表征方式对其聚类，更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the clust
fcm-master
- 利用MATLAB软件，实现了模糊聚类的计算，MATLAB的模糊聚类算法，(Using the MATLAB software, the fuzzy clustering calculation and the fuzzy clustering algorithm of MATLAB are realized.)
基于FCM聚类分析的交通判别算法研究
- 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析，利用FCM聚类分析解决了交通状况的判别算法，文件里面还有相关文献！(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
FCM
- 数学建模评价模型中常用到的聚类分析法，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，聚类分析的目的是揭示和刻画数据的内在结构。(The clustering analysis method commonly used in mathematical modeling evaluation model. Clustering is to divide a set of samples of unknown class marks