搜索资源列表
jake_fcm
- FCM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。-fuzzy clusters method
Springer.Distributedand.ParallelSystemsCluster.and
- 分布式计算，并行计算，网格计算，还有集群，内容十分丰富，是一本好书-Distributed computing, parallel computing, grid computing, there are clusters, very rich, is a good book
hadoop-0.1.0.tar
- Hadoop是一个用于运行应用程序在大型集群的廉价硬件设备上的框架。Hadoop为应用程序透明的提供了一组稳定/可靠的接口和数据运动。在 Hadoop中实现了Google的MapReduce算法，它能够把应用程序分割成许多很小的工作单元，每个单元可以在任何集群节点上执行或重复执行。此外，Hadoop还提供一个分布式文件系统用来在各个计算节点上存储数据，并提供了对数据读写的高吞吐率。由于应用了map/reduce和分布式文件系统使得Had
RepeatFCM
- 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。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clu
icasso122
- Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is consid
clusteringalvierate
- clustering matlab code,check the number of clusters alive at certain iterations
clustering
- To identify distinguishable clusters of data in an n-dimensional pixel value image. Given: Samples of multi-spectral satellite images -To identify distinguishable clusters of data in an n-dimensional pixel
pam
- 当把一类对象划分到k个不同的类中时，主要的目标是找到类。PAM实现了将不同类别的数据自动划分到不同的类中-When partitioning a set of objects into k clusters, the main objective is to find clusters. The algorithm used in the program PAM is based on the search for k represen
LEACH
- LEACH：一个传感器网络中的路由协议，包括建立簇，维护簇等等。传感器网络新手必备-LEACH: a sensor network routing protocols, including the establishment of clusters, the maintenance of clusters and so on.
1
- <集群移动通信信令>本文详细介绍了有关集群移动通信信令的知识，对广大对集群移动通信信令有兴趣的学者具有参考作用-< Mobile Radio Signaling> This paper describes the Mobile Radio signaling knowledge, the broad masses of clusters of signaling interest in mobile communi
KMeans1
- My version of k-means function. Improved so that there are no empty clusters after segmentation.
Detection-of-ellipses-by-a-modified-Hough-transfor
- 这是一篇关于椭圆检测的文章:对于做人脸识别,模式识别的同行应该会有所帮助.找了好久,才下到,上传来共享下.-abstract:The Hough transformation can detect straight lines in an edge-enhanced picture, however its extension torecover ellipses requires too long a computing time
somtoolbox
- It s toolbox in determining the crime pattern analysis using SOM (Self-Organizing Maps). It s using SOM clusters and K-means clusters.
mmvn_toolkit
- A toolkit for Gaussian mixtures. flexible tools for: Generating univariate, multivariate, or mixtures of gaussians Interactive viewing tools allows viewing of multidimensional data and models. Initialize models,
spectralclustering-1.0
- 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站 http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general
isodata_cluster
- 本程序为C程序，主要用来实现对遥感图像的ISODATA聚类分类。-This programm clusters the generic binary image file into user defined cluster number based on hard c mean! The programm is used for 3 band images. If you want to cluster more bands, the
pp-1.5.7RC
- Parallel Python (PP) PP is a python module which provides mechanism for parallel execution of python code on SMP (systems with multiple processors or cores) and clusters (computers connected via network). It is
WebLogicServer9.2
- 本文讲述如何在WebLogic Server 9.2上配置集群，以及通过Proxy Server来访问集群 -This article tells how to configure WebLogic Server 9.2 cluster, as well as to access through the Proxy Server clusters
apcluster
- 一种聚类的新方法，不用开始就设定聚类点的总个数，只需要确定参数p的值，p越大算出的聚类个数就越大，相反一样。-[idx,netsim,dpsim,expref]=APCLUSTER(s,p) clusters data, using a set of real-valued pairwise data point similarities as input. Clusters are each represented by
kmeanmatlab
- k-mean program INPUT A Matrix or dataset K Number of clusters to find (optional default: 2) MAXIT maximum number of iterations (optional default: 50) INIT Labels for initialisation, or rand : take at rando