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基于层析成像技术的网络拓扑判定研究.层析成像技术简介,网络拓扑探测技术,网络拓扑推断,系统聚类树算法及实验-Based on tomographic imaging techniques to determine the network topology studies. Tomography profiles, network topology detection technology, network topology inference, hierarchical clustering t
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文本聚类是基于相似性算法的自动聚类技术，自动对大量无类别的文档进行归类，把内容相近的文档归为一类，并自动为该类生成特征主题词。适用于自动生成热点*专题、重大新闻事件追踪、情报的可视化分析等诸多应用。
灵玖Lingjoin（www.lingjoin.com）基于核心特征发现技术，突破了传统聚类方法空间消耗大，处理时间长的瓶颈；不仅聚类速度快，而且准确率高，内存消耗小，特别适合于超大规模的语料聚类和短文本的语料聚类。
灵玖文档聚类组件的主要特色在于：
1、速度快：可以处理海量规模
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easily understand the energy efficient clustering head selection approach of wireless sensor network.
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Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is
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this the project report for clustering in zigbee network-this is the project report for clustering in zigbee network
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One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency.
Clustering is a method to make the consumed energy efficient. LEA
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In wireless sensor networks, the power resource of
each sensor node is limited. Minimizing energy dissipation and
maximizing network lifetime are important issues in the design
of routing protocols for sensor networks. In this paper, Cluster
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leach protocol for wireless sensor network
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基于多跳分簇的Ad Hoc网络路由协议研究-Ad Hoc Network Routing Protocol-based multi-hop clustering
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有关无线传感器网络的分簇算法，基于LEACH协议-Wireless sensor network clustering algorithm based on LEACH protocol
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In this presentation, Various security threats face by routing protocols in wireless sensor network is presented.
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In wireless sensor networks, owing to the limitation of energy, memory, and computation, it is necessary to design the networks under the constraints. Prolonged network lifetime and reliability are the most common requirements for many wireless senso
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聚类优化算法。 kohonen网络的聚类算法—网络入侵聚类-Clustering optimization algorithms. kohonen network clustering algorithm- Network Intrusion Clustering
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Radial basis function neural network matlab
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基于减法聚类及自适应模糊神经网络的
短期电价预测.-Short-term price forecasting Subtractive Clustering and Adaptive Fuzzy Neural Network.
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In recent years, research on wireless sensor networks has increased significantly because it offers the advantage of monitoring a wide variety of environments to detect physical phenomena. Wireless sensor networks consist of many sensor nodes where e
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Progress summarizes some complex networks, including small-world effect, degree distribution, clustering, and network-related concepts such as random graph model, network growth and preferential attachment models, as well as occurring on the network
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Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory
clustering are mainly based on density and Euclidean distance measures. We argue that when the utility of spatial clustering of
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社会网络分析中的密度估计方法，发表在sigmod2014上的深度文章，有具体算法和实验评价-Social network analysis density estimation method was published in sigmod2014 good text, be able to estimate the social networks of small groups and core.
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Kohonen网络的一种改进算法 研究神经网络聚类的可以参考-An improved algorithm of Kohonen network to study neural network clustering
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