说明：聚类算法包,包括K-Means,性能好，有例程

说明：层次聚类算法中的Cure算法，可以用于识别非球形的簇，解决了偏好球形和相似大小的问题，在处理孤立点上也更加健壮。

说明：串口可交换程序，可交替，仪器端．

说明：DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "noise" of the spatial database found clusters of arbitrary shape.

说明：用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割

说明：A framework for building distributed virtual reality applications, based on OpenGL|Performer(TM)

说明：中心对称的聚类算法，paper。一种基于中心对称的聚类算法

说明：This program shows the distributions of the co-channel interference in forward and reverse link in the cellular mobile system with cluster size N, when the mobile subscriber (MS) is at random positions of a cell.

说明：How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.

说明：The Linux Enterprise Cluster explains how to take a number of inexpensive computers with limited resources, place them on a normal computer network, and install free software so that the computers act together like one powerful server. This makes it possible to build a very inexpensive and reliable business system for a small business or a large corporation. The book includes information on how to build a high-availability server pair using the Heartbeat package, how to use the Linux Virtual Server load balancing software, how to configure a reliable printing system in a Linux cluster environment, and how to build a job scheduling system in Linux with no single point of failure. The book also includes information on high availability techniques that can be used with or without a cluster, making it helpful for System Administrators even if they are not building a cluster. Anyone interested in deploying Linux in an environment where low cost computer reliability is important will find this book useful.

说明：book for "The C Clustering Library"

说明：source codes for clustering algorithm

说明：linux oracle10g cluster

说明：Redhat AS 3.0 集群管理指南

说明：聚类问题的matlab程序,聚类问题在图像处理中有着广泛的应用

说明：无监督聚类的VC源码。。数据挖掘中的一种经典聚类算法

说明：发表在今年2007年Science上的一篇论文的代码实现，一种新的有效的聚类算法

说明：非常好的聚类工具包，用Matlab开发，适合于科研用途等

说明： 选择【聚类分析】菜单，可以对样品进行聚类分析。 ② 选择【模糊聚类】菜单，可以对样品进行模糊聚类分析。 ③ 选择【遗传算法】菜单，可以应用遗传算法对样品进行聚类分析。 在上述处理中，注意选择距离的计算方式和参数输入的范围。

说明：基于VC++6.0的聚类程序,用以实现手写或电脑输入的数字的识别和分类.

说明：一种数据聚类算法的源码，可以在模式识别和图像处理中试用。

说明：《分布式和并行系统：集群和网格计算》(英文版) Distributed And Parallel Systems: Cluster And Grid Computing 介绍由澳大利亚和匈牙利组成的一个分布式和并行系统研究组织在集群计算和网格计算领域的最新研究成果。

说明：关于c均值的经典算法 kMeansCluster

说明：DGCL （An Efficient Density and Grid Based Clustering Algorithm for Large Spatial Database）的实现代码，费了很长时间才实现的

说明：聚类的测试数据集，matlab打开，3个cluster，1W个测试点，2维。

说明：目標為把收集的資料分割成k 個子集合,每一個子集合為一個群聚(cluster). 從收集的資料中隨機選定k 個物件

说明：cluster servers on window server 2

说明：应用kmean均值聚类方法对RGB,HSR图像的分割算法，个人觉得自己变得还可以，希望大家借鉴。

说明：对数据流,按指数递增方式,形成汇总信息,在离线层,根据用户需求,进行聚类

说明：用ＶＩＳＵＡＬC++编写的聚类分析程序,图像识别.(各种算法),具有非常大的价值.