搜索资源列表
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
2-3-1.rar
- 聚类分析 算法的Matlab实现，可以对多参数的数据实现简单方面的分类，从而更好地了解数据结构。,Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure.
jlfx
- 本程序实现模糊数学中聚类分析算法，该算法通过递归来实现分类。-This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification.
GetDistance
- 用聚类分析算法计算样本之间的距离，函数形式为： GetDistance(pattern1,pattern2,type)-Cluster analysis algorithm using the distance between samples, function form: GetDistance (pattern1, pattern2, type)
CollectAnaly.m
- 很有用的Matlab聚类分析算法，很全面，保证可用-Matlab is used for cluster analysis algorithms, a very comprehensive and ensure that available
DBSCAN
- 这是一种基于密度的聚类分析算法，可以发现任意形状的簇，可以发现噪声点。-This is a density-based clustering analysis algorithm can find clusters of arbitrary shape can be found noise points.
juleifenxi
- 不错的c聚类分析算法！欢迎大家来下载，记得一定顶定我哦！-Good clustering algorithm c++! Welcome to download, remember that I must be the top Oh!
suanfashixian
- 通过聚类分析算法实现可以得到想要的聚类结果-Clustering algorithm to use java analysis
mhsx
- 基于欧几里得距离的聚类分析算法程序，只需要用户输入矩阵即可完成-Euclidean distance-based clustering analysis algorithm procedure, but requires the user to complete input matrix
matlab模糊聚类算法
- 可以方便地实现聚类分析 实际运用时对主程序矩阵赋值即可
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
聚类k-means
- 一个非常简单的kmeans算法，主要用于聚类分析，用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)
matlab聚类分析工具箱
- matlab中聚类算法的工具箱，里面有很多种聚类算法直接调用(Matlab clustering algorithm toolbox, there are many kinds of clustering algorithm directly call)
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
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+KFCM模糊C均值聚类分析算法
- FCM+KFCM聚类分析两种方法的比较，有聚类效果图(FCM+KFCM cluster analysis of the two methods of comparison, there is a clustering effect map.)
Untitledk
- k-means聚类分析，用于聚类分析算法，距离聚类(K-means cluster analysis)
K均值聚类
- K均值聚类算法-对数据进行聚类分析，适合数据处理(k means clustering algorithm)
主成分分析、拉伊达准则
- 聚类分析算法、拉伊达准则——剔除无效数据(Cluster analysis algorithm, laida criterion -- eliminating invalid data)
kmeans聚类算法
- kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)