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Description: c45决策树改进算法，主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
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Size: 966 |
Author: 仲伟宽 |
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Description: Cluster tree資料結構建構與搜索程式使用Vc++ CONSOLE介面程式讀入文件(object.txt)建勾並輸出cluster tree(cluster_tree.txt)另外有2搜索功能object search:輸入物件座標搜索值range search:輸入欲搜尋範圍傳回範圍內所有object(object不可謂於線上 即整除4)-Cluster tree data structure Construction and search programs use programming interface Vc CONSOLE read documents (object.txt) hook and construction output cluster tree (cluster_tree.txt) another two search function object search : Search the importation of items coordinates value range search : For the importation of search Fan Wai came back within the limits of object (object is not in line that is divisible 4)
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Size: 46764 |
Author: 张小胖 |
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Description: Cluster tree資料結構建構與搜索程式使用Vc++ CONSOLE介面程式讀入文件(object.txt)建勾並輸出cluster tree(cluster_tree.txt)另外有2搜索功能object search:輸入物件座標搜索值range search:輸入欲搜尋範圍傳回範圍內所有object(object不可謂於線上 即整除4)-Cluster tree data structure Construction and search programs use programming interface Vc CONSOLE read documents (object.txt) hook and construction output cluster tree (cluster_tree.txt) another two search function object search : Search the importation of items coordinates value range search : For the importation of search Fan Wai came back within the limits of object (object is not in line that is divisible 4)
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Size: 46080 |
Author: 张小胖 |
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Description: c45决策树改进算法，主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
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Size: 1024 |
Author: 仲伟宽 |
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Description: 二叉树的聚类算法．．．
语音识别方面的算法-binary tree algorithm for clustering. . . The speech recognition algorithm
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Size: 3072 |
Author: ddl |
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Description: 闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)-Closure of the transfer method for a function and a function of the maximum spanning tree for the fuzzy cluster analysis (matlab)
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Size: 1024 |
Author: kkk |
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Description: ZigBee路由协议指的是ZigBee规范中规定的与路由相关的功能和算法部分，主要包括不同网络拓扑结构下ZigBee协议数据单元的路由方式、路由发现和路由维护等内容。为了达到低成本、低功耗、可靠性高等设计目标，ZigBee网络采用了Cluster-Tree与AODV路由相结合的路由算法。该包实现了ZIGBEE路由算法在NS2下的模拟-ZigBee Routing Protocol refers to the ZigBee specification and routing provisions related functions and algorithms in part, including different network topologies under the ZigBee protocol data unit routing methods, routing discovery and routing maintenance and so on. In order to achieve low-cost, low power consumption, high reliability design goal, ZigBee network using Cluster-Tree Routing with the AODV routing algorithm combining. The implementation of the ZigBee packet routing algorithm in NS2 under the Analog
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Size: 1718272 |
Author: dong |
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Description: 一、问题描述若要在n个城市之间建役通信网络，只福要架设n-1条级路即可．如何以最低的经济代价建设这个通信网，是一个网的最小生成树问题。二、基本要求 （1）利用克鲁斯卡尔算法求图的最小生成树。 （2）能实现教科书6.5节中定义的抽象数据类型MFSet.以此表示构造生成树过程中的连通分量。 (3 ) 以文本形式输出生成树中各条边以及他们的权值．三、需求分析 1、构造图结构。 2、利用克鲁斯卡尔算法求图的最小生成树。 3、完成生成树的输出。 -I. Description of the problem to the n cities built between the service communication networks, Fuk only n-1 to set up the way to class Article. How to minimize the economic cost of building the communications network is a network of minimum spanning tree problem. Second, the basic requirements of (1) the use of Kruskal Algorithm for Minimum Spanning Tree. (2) to achieve 6.5 in the textbook definition of abstract data types MFSet. Spanning tree structure as that in the process of component connectivity. (3) to output text in the spanning tree edges and their weights. Third, a needs analysis, structural map structure. 2, the use of Kruskal Algorithm for Minimum Spanning Tree. 3, complete the spanning tree output.
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Size: 684032 |
Author: 赵婧 |
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Description: 分布文件系统
Ceph是基于California大学存储系统研究中心研究成果的LGPL项目-v0.13 released
We’ve made a v0.13 release. This mostly fixes bugs with v0.12 that have come up over the past couple weeks:
* [ku]lcient: fix sync read vs eof, lseek(…, SEEK_END)
* mds: misc bug fixes for multiclient file access
But also a few other big things:
* osd: stay active during backlog generation
* osdmap: override mappings (pg_temp)
* kclient: some improvements in kmalloc, memory preallocation
The OSD changes mean that the storage cluster can temporarily delegate authority for a placement group to the node that has the complete data while an index is being generated for recovery (that can take a while). Once that’s ready, control will fall back to the new/correct node and the usual recovery will kick in.
The disk format and wire protocols have changed with this version.
We’re continuing to work on the security infrastructure… hopefully will be ready for v0.14.
Here are the relevant URLs:
* Git tree at git://ceph.newdream.n
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Size: 4090880 |
Author: whoami |
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Description: Implementation of ZigBee’s Cluster Tree Addressing Scheme and Hierarchical
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Size: 295936 |
Author: Jafar Hasan |
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Description: the code describes about the aggregate scheduling , system model , bandwidth requirement , buffre requirements & the use of zigbee protocol for existing cluster tree wsn protocol that gives better output in worst case dimension protocols
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Size: 27648 |
Author: nehasharma |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The book and calculation of statistical machine learning as the theme background, specifically on how to dig and analyze data on the Web and resources, how to analyze the user experience, marketing, personal tastes and many other information, and draw useful conclusions, through a complex algorithm from the Web site to access, collect and analyze user data and feedback information in order to create a new user value and business value. Informative book, including the collaborative filtering technology (to achieve related product recommendation function), the cluster data analysis (in large-scale data set to explore a subset of similar data), search engine core technology (reptiles, index, query engine, PageRank algorithm, etc.), Search for massive information and statistical analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), with technology forecasting and decision tree modeling, social network information matching techn
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Size: 2633728 |
Author: 陈磊 |
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Description: 一份关于数据挖掘的入门资料，进行了数据挖掘的基本介绍
还介绍了聚类，关联规则，决策树，神经网络-data mining, cluster, classification, Decision tree, Neural network
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Size: 418816 |
Author: Erin |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。 是Web开发者、架构师、应用工程师等的绝佳选择。-Book and calculation of statistical machine learning as the theme background, specifically on how to mine and analyze data and resources on the Web, how to analyze the user experience, marketing, personal tastes, and many other information, and draw useful conclusions, through complex algorithms Obtained from the Web site to collect and analyze data and user feedback in order to create new customer value and business value. Informative book, including collaborative filtering technology (associated with product recommendation capabilities to achieve), the cluster data analysis (in large-scale data set to explore a subset of similar data), the core search engine technology (crawler, index, query engine, PageRank algorithm, etc.) Massive search for statistical information and analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), using decision tree technology for forecasting and decision modeling, social network information ma
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Size: 2630656 |
Author: 也席 |
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Description: LEACH的簇树网络路由算法cluster tree routing algorit-LEACH' s cluster tree routing algorithm
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Size: 420864 |
Author: abc515 |
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Description: 本人搜集并调试无错的 关于数据挖掘算法，JAVA 实现，里面包含测试数据集，apriori 算法2个，FP-TREE 一个，FP-GROWP 2个 聚类1个、CLUSTREAM 一个，C45、ID3 等，下载后在相应文件夹中有 部分测试数据集合-I collect and debug error-free data mining algorithms, JAVA realization, which contains a set of test data, apriori algorithm 2, a FP-TREE in the FP-GROWP 2 Cluster 1, CLUSTREAM one, C45, the ID3 and other download after part of the collection of test data in the appropriate folder
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Size: 2710528 |
Author: zhangchangsheng |
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Description: 可以实现模式识别领域的数据的分类及回归，快速扩展随机生成树算法，主要为数据分析和统计，包括AHP，因子分析，回归分析，聚类分析，一些自适应信号处理的算法，时间序列数据分析中的梅林变换工具。- You can achieve data classification and regression pattern recognition, Rapid expansion of random spanning tree algorithm, Mainly for data analysis and statistics, Including AHP, factor analysis, regression analysis, cluster analysis, Some adaptive signal processing algorithms, Time series data analysis Mellin transform tool.
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Size: 6144 |
Author: bdfzzebwk |
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Description: Wireless sensor networks with mobile sink are ex-pected to increase the flexibility for gathering information in large-scale sensing and detecting environments. Energy saving becomes one of the most important features of the sensor nodes to extend their lifetime in such networks. A novel tree-based power saving scheme is proposed in this paper to reduce the energy consumption in wireless sensor networks with mobile sink. We adopt a dynamic sorting algorithm to create a tree-cluster routing structure for the sensor nodes. The main goal of this scheme is to reduce the data transmission distances of the sensor nodes by employing the tree structure and multi-hop concepts. Based on the location of mobile sink, the distances between the sensor nodes, and the residual energy of each sensor node, the proposed scheme makes an efficient decision for creating the routing structure. The energy consumption is reduced and the lifetime is extended for the sensor nodes by balancing the network load.
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Size: 1226752 |
Author: wadgiad |
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Description: A hierarchical overlay with cluster-based reputation tree for dynamic peer to peer
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Size: 1108992 |
Author: Nitromira |
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Description: 聚类金字塔树-一种新的高维空间数据索引方法
提出了一种新的有效的高维空间数据索引方法 聚类金字塔树.它先对不均匀分布数据进行聚类 处理,然后对聚类的结果实施金字塔分割和存储,由此建立一种有效的索引结构.文中给出了聚类金字塔树的几种查询算法.实验证明:处理不均匀分布数据时,聚 类金字塔树无论在页面访问次数,还是在CPU总占用时间上都优于金字塔树.
-Pyramid Tree Cluster- A new high-dimensional data indexing method presents a new and effective method for high dimensional spatial data indexing- Pyramid clustering tree it first on the uneven distribution of data clustering, and then results clustering implementation pyramid segmentation and storage, thereby establishing an effective index structure paper presents several query clustering algorithm pyramid tree proved: when dealing with the uneven distribution of data, both in the clustering tree pyramid page visits, or in the total of occupied CPU time is better than the pyramid tree.
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Size: 258048 |
Author: fangsm1 |
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