术语“高维数据”的详细信息

英译术语:

high-dimensional data

汉语语境:

Web文本挖掘模型的优点在于它利用权威页面的确定、XML技术以及特征提取逐步地缩小了数据量，同时得到了能够准确表达文本内容的特征词条集合，此外用支持向量机所降低的高维数据维数，使文本挖掘需要处理的数据更加精炼。

英语语境:

The advantages of a Web text mining model are reducing amount of data step by step by fixing on authority pages, XML technique and feature selection in order to obtain term gather that can express text correctly and that reducing dimension of high-dimension data by support vectors machine, refines data that text mining need to process.

英译术语:

high-dimensional data

汉语语境:

通过将单幅图像转化为高维数据集合,并对其进行非线性降维,研究人员获取了数据流形本征结构的一维表现向量,它可以用来充分表达图像。

英语语境:

By transforming each image to high-dimensional data set and the nonlinear dimension reduction, the 1-dimension expression on the intrinsic structure of the data manifold is acquired, which can be used to represent the image sufficiently.

英译术语:

multi-dimension data

汉语语境:

投影寻踪是用来分析和处理高维观测数据的，尤其是非线性或非正态高维数据。它通过从高维空间到低维子空间的投影，研究能反映原高维数据的结构或特征的投影，以达到研究分析高维数据的目的。

英语语境:

Projection Pursuit (PP) is applied to analyse and deal with the multidimension data,especially the non-linear or non-normal multi-dimension data. In order to analyse multi-dimension data, projection pursuit studys the projection of structure and character which can display the multi-dimension data with the aid of the projection from the higher dimensiom space to lower dimension space.