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ClusterMonitor
- 一个多集群的监控系统,可根据文件中定义的入口IP地址获取其机器上的GANGLIA信息,监控其所在网格内所有集群信息和节点机的CPU、内存、硬盘、负载等信息。-Monitoring system more than one cluster, GANGLIA information available on the machine based on IP address entry defined in the file, they all cluster monitoring informatio
ClusterMonitor
- 一个多集群的监控系统,可根据文件中定义的入口IP地址获取其机器上的GANGLIA信息,监控其所在网格内所有集群信息和节点机的CPU、内存、硬盘、负载等信息。-Monitoring system more than one cluster, GANGLIA information available on the machine based on IP address entry defined in the file, they all cluster monitoring informatio
ClusterMonitor
- 一个多集群的监控系统,监控其所在网格内所有集群信息和节点机的CPU、内存、硬盘、负载等信息。-More than one cluster monitoring system, monitoring all their information and node cluster machine CPU, memory, hard drive, load and other information in the grid.
LEACH
- LEACH [1] is an autonomous adaptive clustering protocol that distributes the energy load evenly among the sensors in the network using randomization. The nodes organize themselves into local clusters, with one node acting as the local base stat
3.3
- Create an input cluster is shown below. Detection input values in a cluster, if greater than or equal to 0, then all of the controls on the input meter cluster Calculate the absolute value contrary, all of the controls on the input c
K_Means
- k-means 算法的工作过程说明如下:首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然后再计算每个所获新聚类的聚类中心(该聚类中所有对象的均值);不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点:各聚类本身尽可能的紧凑,而各聚类之间尽可能的分开。下面给出我写的源代码。-work process k-means al
MediaClustering
- Implementation of an agglomerative based clustering where all items within a certain time cutoff are grouped into the same cluster.
KMeans
- K-均值聚类算法,属于无监督机器学习算法,发现给定数据集的k个簇的算法。 首先,随机确定k个初始点作为质心,然后将数据集中的每个点分配到一个簇中,为每个点找距其最近的质心, 将其分配给该质心对应的簇,更新每一个簇的质心,直到质心不在变化。 K-均值聚类算法一个优点是k是用户自定义的参数,用户并不知道是否好,与此同时,K-均值算法收敛但是聚类效果差, 由于算法收敛到了局部最小值,而非全局最小值。 K-均值聚类算法的一个变形是二分K-均值聚类算法,该算法首先将所有点作为一个簇,然
carCluster
- 一个按照各类汽车参数做的聚类分析的mapreduce程序,可以看到各车型的分类情况。-Mapreduce program in accordance with all types of vehicle parameters to do a cluster analysis, you can see the various models of classification.
all-of-Cluster
- 大多数经典聚类分析算法的matlab实现,包括K均值、模糊聚类(FCM)、SOM、Kohonen、EM、DBSCAN、等!-ON划词翻译ON实时翻译 Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!
clusterWSN
- All five matlab file relate to the cluster structure of wireless sensor network. LEACH, BCDCP, ERP, HEED and so on are very helpful to do the simulation.
PIM-fuzzy-c-means
- Partition index is a measure ofvalidity similar to partition coeGcient, based on using Pj = ci=1 (uij)m as a measure ofhow well the jth data point has been classi- 2ed. The closer a pixel is to a codebook entry, the closer Pj is to one. Ifa
recluster-in-wsn-by-using-data-aggregation-techni
- I am doing research in wireless sensor network in data aggregation. here cluster head send packet to base station .by using k means cluster algorthim A network is divided into k layer. k cluster are formed in k layer . each cluster has one cluster he
km
- 首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然 后再计算每个所获新聚类的聚类中心(该聚类中所有对象的均值);不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点:各聚类本身尽可能的紧凑,而各聚类之间尽可能的分开。 该算法的最大优势在于简洁和快速。算法的关键在于初始中心的选择和距离公式。 -First, choo
ajassp.2014.969.977
- Wireless Sensor Networks (WSN) is vulnerable to node capture attacks in which an attacker can capture one or more sensor nodes and reveal all stored security information which enables him to compromise a part of the WSN communications. Due to lar
k-medoids
- 聚类算法中的k-medoids算法,和 k-means 肯定是非常相似的。事实也确实如此,k-medoids 可以算是 k-means 的一个变种。k-medoids 和 k-means 不一样的地方在于中心点的选取,在 k-medoids 算法中,我们将从当前 cluster 中选取这样一个点——它到其他所有(当前 cluster 中的)点的距离之和最小——作为中心点。-Clustering algorithm k-medoids algorithm, and k-means is certa
K-mean
- 聚类算法中的k-means算法,和k-medoids 肯定是非常相似的。k-medoids 和 k-means 不一样的地方在于中心点的选取,在 k-means 中,我们将中心点取为当前 cluster 中所有数据点的平均值。-Clustering algorithm k-means algorithm, and k-medoids certainly very similar. k-medoids and k-means not the same place that the center o
KafkaTest
- kafka是一种高吞吐量的分布式发布订阅消息系统,它可以处理消费者规模的网站中的所有动作流数据。 这种动作(网页浏览,搜索和其他用户的行动)是在现代网络上的许多社会功能的一个关键因素。 这些数据通常是由于吞吐量的要求而通过处理日志和日志聚合来解决。 对于像Hadoop的一样的日志数据和离线分析系统,但又要求实时处理的限制,这是一个可行的解决方案。kafka的目的是通过Hadoop的并行加载机制来统一线上和离线的消息处理,也是为了通过集群机来提供实时的消费。-Kafka is a high thr
wordconverter_f
- In wireless sensor network,cluster algorithm of nodes is all effective approach and key technology to implement energy saving and flexible management.To improve security and lifetime of clustering network,a secure clustering was pro— posed based on t
DDBSCAN
- DDBSCAN datasets that used to cluster data using DDBSCAN. three datasets are used and all included in the file