搜索资源列表
shotdetect
- 文本聚类算法的好东西文本聚类算法的好东西-Text clustering algorithm for text clustering algorithm good things good things
kmeans
- 一种改进的均值聚类算法,能很好的利用与图像分割技术-k-means cluster
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
最近邻聚类算法
- 最近邻聚类算法,本程序利用图示来显示聚类之后的结果,效果直观-NearestNeighbor algorithm
Cluster
- 各种聚类算法程序源码,Visial C++6.0控制台应用程序,欢迎参考-Clustering algorithms source code, Visial C++6.0 console application, please refer to
k_means
- k均值聚类算法,可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
k_means_cluster
- k均值聚类算法 ,c语言实现 了基于均值的聚类分析,同时增加了多维向量分析功能,使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
K-means
- 均值为K的聚类算法,是一种对聚类数据进行的最简单的算法,广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
ClusteringToolbox1p0_Trail
- 聚类分析Matlab工具箱 Version1.0 Clustering Analysis Matlab Toolbox - Trial Version 1.0 ------------------------------------------------------------------------------ 1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析: ...\KMeans\Main_KMeans.m 标准 K-M
ACTC
- 基于改进的蚁群算法,应用于聚类算法中,是pdf格式的,欢迎下载-Based on improved ant colony algorithm, clustering algorithm used is the pdf format, please download
聚类算法
- 本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法
birch 聚类算法
- 这是一用java实现的birch 聚类算法,可以简单的满足大家的要求,非常有用!!!
改进后的k均值聚类算法
- 这是加以改进后的聚类算法,适合研究聚类的学者使用。
聚类程序
- 几种聚类的程序,适合初学者,对目标空间中的点进行分类,效果很好(Several clustering procedures, suitable for beginners)
kmeans2
- 此程序可以实现大型数据聚类算法,其中含有测试数据。(This program can achieve large data clustering algorithm, which contains test data)
K-mean
- K-means算法是很典型的基于距离的聚类算法,采用距离作为相似性的评价指标,即认为两个对象的距离越近,其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
dbscan_for_data_upload
- Matlab语言写的经典聚类算法DBSCAN(the classical algorithm DBSCAN in Matlab)
kmeans
- 基于k均值的无监督聚类算法,输出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,点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
warp-kmeans
- 传统的kmeans聚类算法不能保证时间序列聚类结果的时序性;基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题,而且复杂度低,迭代次数少。 ,输出有目标函数在每次迭代后的值,聚类中心以及聚类区间。内有测试数据和相关文献,点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results
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)