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上海财经大学信息管理与工程学院数据挖掘课件 Cluster Analysis。
2017第17届IEEE/ACM国际集群，云和网格计算研讨会（2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing） (CCGRID)
2017年 第17届 IEEE / ACM 国际集群 网格计算 研讨会
2017/3/21
The organizing committee is delighted to invite you to CCGrid2017, The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, to be held in Madrid, Spain, from 14th to 17th of May...
Effects of a Stretching Development and Maintenance Program on Hamstring Extensibility in Schoolchildren: A Cluster-Randomized Controlled Trial
Flexibility program flexibility maintaining classic sit-and-reach test physical fitness primary school children physical education setting
2016/3/11
The main purpose of the present study was to examine the effects of a physical education-based stretching development and maintenance program on hamstring extensibility in schoolchildren. A sample of ...
We consider statistical inference for regression when data are grouped into clusters, with regression model errors independent across clusters but correlated within clusters. Examples include data on ...
On Optimisation of Cluster-based Sensor Network Tracking System
WSN wireless sensor network target tracking cluster optimisation
2016/1/23
Tracking mobile targets using low-cost Wireless Sensor Network (WSN) requires not only good tracking accuracy but also network longevity. Cluster-based tracking protocols leverage the fact that only s...
Cluster Validation by Prediction Strength
Number of clusters Prediction Unsupervised learning
2015/8/20
This article proposes a new quantity for assessing the number of groups or clusters in
a dataset. The key idea is to view clustering as a supervised classification problem, in which
we must al...
Predicting initial cluster frequencies by phonemic difference
Predicting initial cluster frequencies phonemic difference
2015/8/14
Predicting initial cluster frequencies by phonemic difference.
Detection of an Anomalous Cluster in a Network
Detecting a cluster of nodes in a network minimax detection Bayesian detection scan statistic generalized likelihood-ratio test disease outbreak detection sensor networks Richardson’s model cellular automata
2015/6/17
We consider the problem of detecting whether or not in a given sensor network, there is a cluster of sensors which exhibit an “unusual behavior.” Formally, suppose we are given a set of nodes and atta...
We use two rounds of surveys, in 2000 and 2008, in the Zhili Township children’s garment cluster in Zhejiang Province to examine in depth its evolution. Firm size has grown on average in terms of outp...
We use two rounds of surveys, taken in 2000 and 2008 in the Zhili Township children’s garment cluster in Zhejiang Province, to examine in depth the evolution of this industrial cluster. Firm size has ...
Reconfigurable Technologies for Next Generation Internet and Cluster Computing
Distributed computing FPGA Heterogeneous computing Network virtualization Partial reconfiguration Reconfigurable computing
2014/11/7
Modern web applications are marked by distinct networking and computing characteristics. As applications evolve, they continue to operate over a large monolithic framework of networking and computing ...
基于两光子宇称门接近确定性的制备偏振Cluster态
交叉克尔非线性 量子非破坏测量 Cluster态
2013/9/15
基于弱的交叉克尔效应和线性光学元件,利用光子偏振宇称门呈现了一个关于制备Cluster态的方案.本方案引入了交叉克尔非线性介质,采用了对相干探测模的非破坏测量,有效实现了光子与光子间的相互作用,进而获得所期望的光子纠缠态,同时可以提高制备的成功概率和制备态的保真度.通过本方案可以制备接近完美保真度的四光子偏振Cluster态,并具有接近1的成功概率.在本方案的基础上通过利用线性光学元件还可以获得3...
Graph cluster randomization: network exposure to multiple universes
Graph cluster randomization network exposure multiple universes
2013/6/17
A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a new feature or condition by exposing a sample of the ove...
A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades
A History of Cluster Analysis the Classification Societies Bibliography Over Four Decades
2012/11/23
The Classification Literature Automated Search Service, an annual bibliography based on citation of one or more of a set of around 80 book or journal publications, ran from 1972 to 2012. We analyze he...
Clustering and Classification via Cluster-Weighted Factor Analyzers
Cluster-weighted models factor analysis mixturemodels parsimonious models
2012/11/23
In model-based clustering and classification, the cluster-weighted model constitutes a convenient approach when the random vector of interest constitutes a response variable Y and a set p of explanato...