Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
The pattern representation of time series itself has the function of compress data and keeps the basic shape of time series, and it has a certain extent effect of deleting noises.
时间序列的模式表示本身就具有压缩数据、保持时间序列基本形态的功能，并且具有一定的除噪能力。
This paper analyzes the shortage of traditional methods and HTML in brief, and then proposes that XML be used as a new means of data representation through the MVC design pattern.
文章针对传统的数据表现设计方法的不足以及HTML作为解决方法时自身存在的问题，提出采用基于XML进行数据表现的MVC设计模式。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
模式识别；可视化；多元数据；图表示；几何代数；子空间坐标；优化。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
模式识别；可视化；多元数据；图表示；几何代数；子空间坐标；优化。
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