搜索资源列表
Clustering
- clustering for ns-2 simulation
CLICKS
- clique code with sample data set. clique is a data clustering algorithm which follows hierarchical clustering method.
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
dutycycle-1.0.0.tar
- this code describes the clustering algorithm
torque-2.3.3.tar
- PBS是功能最为齐全，历史最悠久，支持最广泛的本地集群调度器之一。 PBS的目前包括openPBS，PBS Pro和Torque三个主要分支。 其中OpenPBS是最早的PBS系统，目前已经没有太多后续开发，PBS pro是PBS的商业版本，功能最为丰富。Torque是Clustering公司接过了OpenPBS，并给与后续支持的一个开源版本。 -PBS is the most feature-complete, the oldest in support of the most exte
HEED_MATHLAB
- This the Heed code algorithm for using in wireless sensor network. This is a clustering algorithm used to energy economy.
platespin_migrate_9
- Heartbeat clustering linux , rpm creation on linux load balancing for high availability, linux load balancing Heartbeat clustering linuxHeartbeat clustering linuxHeartbeat clustering linuxHeartbeat clustering linux-Heartbeat clustering linux , rpm c
KMedoids
- Implementation of the Kmedoids Clustering Algorithm in Linux
general_cluster
- general good clustering algorithm
sonet_cluster
- sonet clustering algo
LINUX-JiQunbushu
- Linux集群布署， 详细讲解如何布署Linux，如何实现各种集群应用，负载均衡等-Linux cluster deployment, explain in detail how to deploy Linux, how to achieve a variety of clustering applications, load balancing, etc.
clusteringapproch
- a clustering approach for various fields
linux-clustering---building-and-maintaining-linux
- how to cluster linux and implement load balancing ,fault toleranace ,-how to cluster linux and implement load balancing ,fault toleranace ,..
cluster-1.50
- hgc的clustering算法源码，包括k-means等-hgc s clustering algorithm source, including k-means method.
kmlocal-1.7.2
- KMlocal:一个k-means算法测试程序-KMlocal: A Testbed for k-means Clustering Algorithms
k-meansPP-clustering-1
- K means algorithm implemented using NS2
MediaClustering
- Implementation of an agglomerative based clustering where all items within a certain time cutoff are grouped into the same cluster.
JLearn
- 用java语言编写，实现DBSCAN、K-Means、HRcluster等三种聚类算法-Java language to achieve DBSCAN, K-Means, HRcluster clustering algorithm, three
node-creation
- node creation for clustering in ns2
xfs_aops
- Types of I O for bmap clustering and I O completion tracking.