outliers

RESULTS: Outliers in reaction curve greatly reduced the reliability of parameters obtained by this integrated method.

结果：被分析数据中的畸异值显著降低结果可靠性。

Detection of Outliers from Spacecraft Tracking Data using GP-RBF Network

GP-RBF网络应用于飞行器外测数据野值实时剔除

And this robust algorithm can also be used to pick out the outliers in observation al data.

稳健算法还可用作剔除观测资料的异常值。

Application of an improved k-means algorithm based on outliers and original clustering center

基于孤立点和初始质心选择的k均值算法的改进与应用

However, these parameters are less resistant to the presence of outliers.

但是，这些参数对异常值的存在有较低的抵抗力。

But when measurement data influenced by outliers, filtering convergence velocity becomes slow filter even diverges.

当测量值存在野值时, 滤波收敛变慢甚至发散.

The parameter estimation problem in linear model is considered when multicollinearity and outliers exist simultaneously.

本文讨论复共线性和粗差同时存在时线性模型的参数估计问题.

Improvement and Application of Cell-based Outliers Detection Algorithm

基于单元的孤立点检测算法改进及应用

The results of this study that: ( 1) the cutoff point method has the best performance that it can identify all the outliers without misidentification;

结果表明：（1）截断点法对光谱数据异常值具有较好的判断性能，异常值几乎都能被正确识别出来，且基本上无发生误判情况；

Data records that deviate from the global distribution of data records are called outliers.

偏离全局数据分布的数据记录称为离群值（outlier）。

Looking at Table one below, we can see the effect outliers in a dataset have on the mean and standard deviation.

查看下面的表1，我们可以在数据集中看到异常值。

This method is easier than quadratic programming , but it is sensitive to the noise and outliers.

但是按照这样的方法所得到的结果对噪声和离群数据十分敏感.

As a result, the problem of testing the outliers in two-parameter Weibull examples is solved primely.

这样双参数Weibull分布场合下异常值的问题得到很好地解决。

At the same time, the procedure for tangent plane selection can also be used to detect outliers contained in the point clouds.

同时，选择最优切平面的过程还可以有效地检测出点云中的外点。

Outliers are data values that lie away from the general clusters of other data values.

一般说来,离群点是远离其他数据点的数据,但很可能包含着极其重要的信息.

However, outliers in the sample set will take much effect on the extracted principal component, even though the proportion of them is small.

然而，当样本集中含有劣点时，即使是劣点所占比例极小，也会对所提取的主分量有较大的影响。

The same philosophy informs the Cisco and Deloitte programmes, which generate a scatter chart of team performance, rather than a single number, allowing managers to spot outliers and assess how individuals are doing more fairly and accurately.

同样的理念启迪着思科和德勤的项目，这些项目产生有关团队业绩的散点图表，而非单个数字，让经理们发现异常值，并且更为公平、准确地评估个人表现。

To detect such abnormal people trajectories, namely outliers, we presents a solution based on Hidden Markov Model ( HMM).

为了检测这种异常轨迹，我们提出了一种基于隐马尔可夫模型的异常检测方案。

A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.

利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。

As a result, the outliers can be detected and its negative influence can be minimized. So the estimation accuracy of the local tangent space coordinates for each point can be consequently enhanced.

该算法能够检测出离群点并降低其影响，并能改善HLLE中每个样本局部切空间坐标的准确性。

A conclusion is come to that dynamic robust estimation model is superior to the others in controlling the influence of the outliers on the mean sea level and its rise trend.

研究表明，动态抗差模型不仅能削弱海面垂直异常的影响，而且能顾及海面动态效应，求出平均海面和海面的平均升降，优于其它方法。

The outliers, like Barclays, are focusing on shrinking margins on flat panels.

更极端的, 如巴克莱, 目前关注的是液晶面板利润率的下降.

Group customers by profession and provide an overview on how many outliers can be found in each profession category.

将客户按职业分组，并提供关于每种职业发现多少离群值的概述。

A Method of Removing the Outliers of Doppler Frequency and Estimating Missile Miss Distance

一种去除多普勒频率野值及估计导弹脱靶量的方法

As the Web server and Web page content is dynamic and changeable, using a single algorithm can not mine all outliers.

由于Web服务器和Web网页内容具有动态多变的特点，使用单一的算法并不能挖掘出所有的离群数据。

Statistical diagnosis method for outliers from spacecraft tracking data

靶场外测数据野值点的统计诊断技术

Objective To explore the robust diagnostic method when there are outliers in principal component regression.

目的探讨主成分回归模型中存在异常点时的稳健诊断方法.

It gets the outliers and high-quality clustering results by the two-stage clustering method.

采用两阶段聚类识别出异常点并得到高质量的聚类结果.

It introduces an outliers detection method based on random forest.

提出一种基于随机森林方法的异常样本（outliers）检测方法。

A method of removing the estimating outliers of Doppler frequency is studied.

研究去除多普勒频率估计野值点的方法.