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【Windows Develop】 WP-V6-Cluster-Guide DL : 0: A step-by-step guide to configuring a WebSphere Portal v6.0.0.0 cluster using WebSphere Application Server v6.0.2.9 and WebSphere Process Server v6.0-A step-by-step guide to configuring a WebSphere Portal v6.0.0.0 cluster using WebSphere Application Server v6.0.2.9 and WebSphere Process Server v6.0.1.1
Update : 2024-05-19 Size : 3428352 Publisher : 海
【Other】 cluster DL : 0: 《集群技术案例介绍和具体操作》，中科红旗linux培训认证中心的材料-" Case study cluster technology and specific operations," Red Flag linux training center materials
Update : 2024-05-19 Size : 438272 Publisher : xiaoxue
【GDI-Bitmap】 cluster DL : 0: cluster 簇的基本概念例程，描述了簇的制作，正确的表述其含义-cluster as it tells
Update : 2024-05-19 Size : 4096 Publisher : bryan wong
【Algorithm】 optics-VCPP DL : 0: Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类-Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster analysis a cluster order. This order represents the data to cluster based on the density structure. It contains in information from a broadly equivalent range of parameters obtained by density-based clustering
Update : 2024-05-19 Size : 653312 Publisher : winfrey
【WEB Code】 WebLogic-Server-8.1-cluster-config DL : 0: WebLogic Server 8.1集群配置的过程和实例，包括配置、启动、测试等。-cluster config for weblogic server8.1
Update : 2024-05-19 Size : 785408 Publisher : sushijie
【matlab】 PBCR-route-simuation DL : 0: 将节点位置信息和分簇路由技术相结合，提出了一种基于位置的分簇路由（position-based cluster routing，PBCR）协议- By combining the position information and cluster routing technology, a position-based cluster routing（PBCR）protocol is proposed.
Update : 2024-05-19 Size : 53248 Publisher : qiaogz
【matlab】 wsn-algo DL : 0: wsn protocol modified for cluster head selection
Update : 2024-05-19 Size : 27648 Publisher : ramji
【matlab】 Ipso DL : 2: 提出了一种基于改进型微粒群算法的无线传感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息-Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the selection of the candidate node and the neighbor node state information
Update : 2024-05-19 Size : 2048 Publisher : Sherry
【matlab】 cluster DL : 1: 一种无线传感器网络分簇算法的matlab仿真实验程序，用于查看各节点剩余能量及节电存活数目-A wireless sensor network clustering algorithm matlab simulation program for viewing and saving the residual energy of each node the number of surviving
Update : 2024-05-19 Size : 3072 Publisher : 周波
【matlab】 1-cluster-analysis DL : 0: 多元统计分析方法，聚类分析的原理讲解资料-Multivariate statistical analysis, cluster analysis to explain the principles of information
Update : 2024-05-19 Size : 41984 Publisher : LEOLEE
【matlab】 cluster-analysisprinciples DL : 0: 多元线性分析，之聚类分析原理资料2（与1不同）-Multiple linear analysis, the principle of cluster analysis data 2
Update : 2024-05-19 Size : 641024 Publisher : LEOLEE
【matlab】 DBSCAN DL : 1: BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".-BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".
Update : 2024-05-19 Size : 2048 Publisher : pepe
【Mathimatics-Numerical algorithms】 gorithm DL : 0: 多模型预测的WSN动态簇目标跟踪算法Dynamic multi-cluster model to predict the WSN target tracking algorithm-Dynamic multi-cluster model to predict the WSN target tracking algorithm
Update : 2024-05-19 Size : 436224 Publisher : vip7510
【Algorithm】 Cluster-Head DL : 0: cluster algorithm Here is the suitable example of our algorithm,which contains super cluster,capital cluster with member nodes
Update : 2024-05-19 Size : 11264 Publisher : shuvo
【Special Effects】 cluster DL : 0: 聚类程序，用于对数据进行聚类分析，找出数据的相似性-Clustering procedures for clustering the data analysis to identify the similarity of data
Update : 2024-05-19 Size : 1468416 Publisher : sydia525
【Other】 about-instrument-cluster DL : 0: informative presentation about instrument cluster
Update : 2024-05-19 Size : 5146624 Publisher : rajni
【matlab】 Cluster-analysis DL : 0: 对应聚类分析与盲矿体的地球化学预测为利用矿区地球化学数据进行找矿靶区预测，采用了对应的聚类分析方法-Cluster analysis and blind orebodies corresponding geochemical prediction for the use of data mining geochemical prospecting target prediction, using the corresponding cluster analysis method
Update : 2024-05-19 Size : 253952 Publisher : 王佳佳
【matlab】 kmeans DL : 0: K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.
Update : 2024-05-19 Size : 2048 Publisher : driiawrl
【JSP/Java】 cluster DL : 0: J2EE集群相关内容，对J2EE中集群的概念作了全面的介绍，并提供J2EE集群实现机制的说明-J2EE cluster related content, the concept of cluster of J2EE provides a comprehensive introduction and provides the mechanism that J2EE Clusters
Update : 2024-05-19 Size : 844800 Publisher : chenhongbo
【matlab】 code-(2) DL : 0: Cluster head selection using two level Fuzzy logic
Update : 2024-05-19 Size : 187392 Publisher : HirenParmar

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