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MonTestRandom
- k-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. The procedure follows a simple and easy way to classify a given data set through a certain number of clusters (assume k clusters) fixed apri
oracle_rac
- oracle_rac集群介绍 基础知识的介绍，有命令和操作-Oracle_rac cluster introduction of basic knowledge, there are commands and operations
heedfinal
- heed分簇算法，基于剩余能量，地理位置合理选择簇头，使能量均衡，防止出现能量空洞，延长网络生命周期-heed clustering algorithm, a reasonable choice based on the remaining energy cluster head, geographical location, the energy balance, to prevent the energy hole and prolong the network life cycle
Clustering-Algorithms-Research
- 对近年来聚类算法的研究现状与新进展进行归纳总结.一方面对近年来提出的较有代表性的聚类算法,从算法思想、关键技术和优缺点等方面进行分析概括 另一方面选择一些典型的聚类算法和一些知名的数据集,主要从正确率和运行效率两个方面进行模拟实验,并分别就同一种聚类算法、不同的数据集以及同一个数据集、不同的聚类算法的聚类情况进行对比分析.最后通过综合上述两方面信息给出聚类分析的研究热点、难点、不足和有待解决的一些问题.上述工作将为聚类分析和数据挖掘等研究提供有益的参考.-Status and Progress
An-Efficient-Tree-based-Power-Saving-Scheme-for-W
- 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 th
Cluster-Based-Routing-for-the-Mobile-Sink-in
- In wireless sensor networks (WSNs), the bene ts of exploiting the sink mobility to prolong network lifetime have been well recognized. In physical environments, all kinds of obstacles could exit in the sensing field. Therefore, a research challenge i
k-junzhi
- 通过对K-均值算法的编程实现，加强对该算法的理解和认识。提高自身的知识水平和编程能力，认识模式识别在生活中的应用。 算法思想K-均值算法的主要思想是先在需要分类的数据中寻找K组数据作为初始聚类中心，然后计算其他数据距离这三个聚类中心的距离，将数据归入与其距离最近的聚类中心，之后再对这K个聚类的数据计算均值，作为新的聚类中心，继续以上步骤，直到新的聚类中心与上一次的聚类中心值相等时结束算法。-By programming K- means algorithm implementation, s
zkmeans
- Cluster Scheme using K-means
Multi-Agent-Based-IDS-for-WSN
- 本文提出一种无线传感器网络入侵检测解决方案针对分簇式无线传感器网络的特点, 通过让节点和簇头分别执行不同检测任务, 结合本地检测和联合检测, 并采用多个代理模块分别实现数据收集、分析检测和入侵响应和代理管理的任务,是一套完整的IDS体系。-This paper proposes a wireless sensor network intrusion detection characteristics solutions cluster wireless sensor network, data
load-balancing
- 本文根据排队论理论给出了一个理想的负载均衡模型。针对该模型的系统开销问题，提出了一种基于节点分组的异构集群负载均衡算法-This article gives a good load balance model based on queuing theory. For overhead problem with this model, we propose a load balancing algorithm based on heterogeneous cluster node packet
cluster
- 提出了一种基于语义内积空间模型的文本 聚类算法. -Text proposed clustering algorithm within the semantic model based on the product space.
fanfangfie
- 对HARQ系统的吞吐量分析，包括AHP，因子分析，回归分析，聚类分析，计算多重分形非趋势波动分析matlab程序。- HARQ throughput analysis of the system, Including AHP, factor analysis, regression analysis, cluster analysis, Calculation multifractal detrended fluctuation analysis matlab program.
tao_pu68
- 包括调制，解调，信噪比计算，利用matlab GUI实现的串口编程例子，包括AHP，因子分析，回归分析，聚类分析。- Includes the modulation, demodulation, signal to noise ratio calculation, Use serial programming examples matlab GUI implementation, Including AHP, factor analysis, regression analysis, clust
sv106
- 最小二乘回归分析算法，包括AHP，因子分析，回归分析，聚类分析，电力系统暂态稳定程序，可以进行暂态稳定计算。- Least-squares regression analysis algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Power System Transient Stability Program, can be transient stability.
yanghing_v33
- 计算一维光子晶体的透射特性和反射特性，包括AHP，因子分析，回归分析，聚类分析，IDW距离反比加权方法。- Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Including AHP, factor analysis, regression analysis, cluster analysis, IDW inverse
jeigeng-V4.1
- IDW距离反比加权方法，包括AHP，因子分析，回归分析，聚类分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- IDW inverse distance weighting method, Including AHP, factor analysis, regression analysis, cluster analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
K-Means
- 对500个随机二维坐标点进行聚类，然后通过C++程序输出窗口输出。(Cluster Algorithm.Put the 500 2d points into 20 clusters.)
Zookeeper集群安装
- zookeeper集群安装说明和配置说明(Zookeeper cluster installation and configuration)
Hadoop技术内幕：深入解析YARN架构设计与实现原理
- Hadoop是一个开源框架,它允许在整个集群使用简单编程模型计算机的分布式环境存储并处理大数据。它的目的是从单一的服务器到上千台机器的扩展,(Hadoop is an open source framework that allows you to store and process large data in a distributed environment using a simple programming model computer throughout the cluster.It
docker学习总结
- 本文主要是参考docker学习手册的内容完成的，目前计划主要主要包括十二章的内容：第一章为什么需要使用docekr；第二章docker的体系结构；第三章docker的安装和使用；第四章docker images的获取和使用；第五章docker中的网络介绍；第六章docker高级网络配置；第七章docker的数据管理；第八章容器的安全性能；第九章学会部署局域网docker；第十章docker实现多台物理机之间的容器互联；第十一章在docker中使用Supervisor管理进程；第十二章docker