1) multivariate data
多元数据
1.
A new multivariate data visualization method named point-score parallel coordinates (PSPC) is proposed in this paper.
提出了一种多元数据的点得分平行坐标表示及可视化分析方法。
2.
This article combines the techniques of information visualization and machine learning to bring forward a Bayesian visual classification method based on parallel coordinates graphical representation of multivariate data.
结合信息可视化与机器学习技术,提出一种基于多元数据平行坐标图表示的贝叶斯可视化分类方法。
2) multi-data
多元数据
1.
Application of measurement uncertainty in multi-data processing
测量不确定度在多元数据处理的应用
2.
Aiming at solving the problem of measuring the measurement error evaluation quality during the multi-data processing, this paper analyzed the evaluation and calculation methods of measurement uncertainty,discussed the normality test strategy of measurement data and made error analysis and treatment of multi-data by using combined standard uncertainty.
针对多元数据处理中的测量误差存在难于进行测量质量的评估问题,本文分析了测量不确定度的评定与计算方法,探讨了测量数据的正态性检验策略,并利用合成标准不确定度进行多元数据的误差分析与处理。
3) multidimensional meta data
多维元数据
5) Multivariate data analysis
多元数据分析
1.
Gauss-Markov model is frequently used in multivariate data analysis and processing, and its parameter estimation is always a hot issue.
Gauss-Markov模型是多元数据分析处理工作中常用的模型,其参数估计与筛选一直是研究的热点。
6) multivariate data representation
多元数据描述
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条