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outlier相关的网络例句

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At present, outlier mining has attached a great importance in the field of time series analysis.

目前,在时间序列分析领域,孤立点的挖掘越来越多的受到重视。

I'm a outlier of politics. I did not know how much bifurcation among the elderships all over the world.

从小,我的家人就对我说过,在中国,永远都不要过问政治。

In this method, the outlier's density is considered smaller than the average density of data set and the none-outlier's density shouldn't decrease with its closed interval compression.

该方法提出了孤立点对象的密度要小于数据集的平均密度;非孤立点对象的密度不应因为封闭区间的收缩而减少。

The state estimation of body motion is demonstrated by simulation, which gives very satisfactory results to continuo outlier. The accuracy of navigation data compared with tradition way is improved 30%-50%.

仿真实验表明:较之一般的KALMAN滤波器,该滤波器有较强的自适应能力,对具有较多门限附近测量值的滤波,能有较为满意的效果,数据精度可比传统处理方法提高30%-50%。

The score test statistics for outlier tests are derived and a series of simple counting formulas for diagnostic statistics are obtained.

第二,研究了异常点的Score检验统计量,得到了一系列诊断统计量的简洁计算公式。

Outlier data mining is an important embranchment in data mining research.

离群数据挖掘是数据挖掘研究的一个重要分支。

In this paper, we mainly discuss some preliminary studies about statistical diagnostics for one kind of restricted multivariate linear regression model. At first, we give the parameters estimation of this model. After that, the problem of outlier test is considered by giving the equivalence relations of estimators and statistics in multivariate case deletion model and mean shift outlier model under the restricted condition.

本文主要讨论的是一种带线性约束的多元线性回归模型(这里的多元是指多个因变量对多个自变量的情形),重点在与统计诊断方面的一些初步研究,首先给出带有线性约束的多元线性回归模型的参数估计,其次讨论了该模型的异常点检验问题,主要介绍了常见的数据删除模型及均值漂移模型,并证明了此两种模型统计量之间的等价性。

For contrast experiments, k-means and DBSCAN algorithms are also implemented using Visual C++ 6. 0. We conducted a series of experiments, including the experiment of the correctness of clustering and outlier detection, the experiment of the precision of clustering and outlier detection. The experiment of the runtime, the experiment of the effect of clustering and outlier detection on parameters, the experiment of the impact of clustering and outlier detection precision by the order of data input, and the experiment of the effect of the algorithm validness by the density character of dataset.

本文使用Visual C++ 6.0实现了基于距离的聚类和孤立点检测算法、k-means算法和DBSCAN算法,做了大量的对比实验,包括聚类算法和孤立点检测正确性实验;聚类算法和孤立点检测精度实验;算法执行时间实验;参数对聚类和孤立点检测结果的影响实验;数据输入顺序对算法聚类和孤立点精度的影响实验;数据集密度对算法有效性的影响等。

This new strategy gets the potential support vectors and removes the non-boundary outlier data immixed in the other class by using fuzzy clustering. That can greatly reduce the scale of the training sample set and improve the generalization performance by effectively avoiding over-learning caused by outlier data, and finally speed up learning rate without reducing the classification accuracy.

该策略运用模糊聚类方法快速的提取出潜在支持向量并去除类内非边界孤立点,在减小训练样本集规模的同时,能够有效地避免孤立点数据所造成的过学习现象,提高了SVM的泛化性能,在保证不降低分类精度的前提下提高训练速度。

This paper presents an outlier pattern detection algorithm of time series based on K -Mean Distance Outlier Factor.

提出了一种基于 k -均距异常因子检测时间序列异常模式的算法。

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