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reduction of dimensionality
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  维数缩减
     To be more economic, this paper presents a new hierarchical automatic classification on Chinese texts, with some improvements on term weighting and reduction of dimensionality as well.
     因此本论文在对自动分类技术进行深入研究的基础上,结合实验室原有的单层次的分类成果,实现了一个多层次的中文文本自动分类系统,并在特征加权和维数缩减方面等方面做了一定改进。
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  “reduction of dimensionality”译为未确定词的双语例句
     Rough set theory can be efficient in both the term weighting and reduction of dimensionality.
     Rough集理论不仅可以用于对特征项进行加权,还能同时进行约简,剔除文档向量中的冗余信息。
短句来源
     The method of reduction of dimensionality using extreme point analysis of high-dimensioned sample points
     高维样品点的极点分析降维法
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     In addition, term importance test is proposed after comprehensive term weighting and filtering, ensuring the reduction of dimensionality without affecting precision of classification.
     本系统在对特征进行综合加权并通过阈值筛选后,进一步通过特征重要度测试进行又一轮的特征筛选,在基本不影响分类精度的前提下实现特征空间维数的进一步下降。
短句来源
     This PaPer adopts the X~2distence doefficient in the reduction of dimensionality through extreme point analysis of high—dimensioned Sample Points The clustering distribution of high—dimensioned points.
     X~2距离系数在聚类分析中得到好的效果。 那么高维样品点的极点降维法中能不能用X~2距离系数?
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  相似匹配句对
     On reduction strategy
     浅谈化归策略
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     Organization Reduction
     组织减肥运动
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     Reduction of Phenomenology
     现象学的还原
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     ON THE REDUCTION OF THE MULTIVARIABLE
     关于多变量开关函数化简的问题
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     Intergenerational Dimensionality of Ethics
     伦理的代际之维
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  reduction of dimensionality
The principle of parametric reduction of dimensionality is presented with the possibility of applying it in order to synthesize a selected subclass of information measuring systems.
      
Application of the Principle of Parametric Reduction of Dimensionality for Synthesizing One Subclass of Information Systems and
      
Evidence for reduction of dimensionality, probe segregation, and microdomain sizes in these systems is discussed.
      
A major aspect of diffusion is in macromolecular associations: reduction of dimensionality for membrane diffusion facilitates collisional encounters, as those concerned with receptor-mediated signal transduction and with electron transfer chains.
      
In comparison with other attempts, this approach enables the maximal reduction of dimensionality, being based on prescribing synergy, to one part of the system.
      
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This paper represents a simple method of reduction of dimensionality using the geometrical model of extreme points. The high-dimensimed sample points are projected to a 2 or 3 dimensioned space, keeping the similar relationship between original points. In this way, one can see the clustering distribution of high-dimensioned points in a plane of two dimensions.

对高维样品点的降维是多元统计分析中一项重要的内容,在研究多指标样品的聚集、分带和对比中有着非常广泛的用途.本文借极点的几何模型引出一种简单的降维方法,把高维的样品点投影到二维或三维空间中,并保持原样点之间的相似关系,以便我们能在二维平面上直观地看到高维点的聚集分布情况.

This PaPer adopts the X~2distence doefficient in the reduction of dimensionality through extreme point analysis of high—dimensioned Sample Points The clustering distribution of high—dimensioned points. can be directly perceived in a Plane of two dimensions, and the o he original points is kept.

X~2距离系数在聚类分析中得到好的效果。那么高维样品点的极点降维法中能不能用X~2距离系数?过去人们采用的是欧氏距离、绝对距离、Minkowski距离、Bray—Curtis等距离。本文将采用X~2距离系数,在二维平面上直观地看到高维样品点的聚集分布情况,并保证原样品点的相似性。

The fine structure of energy levels for a 2- D hydrogen atom has been obtained by solving the corresponding 2-D Dirac equation exactly. Owing to the low dimensionality, a3 does not appear in the equation. The 2-D representation has been taken for the simplified Dirac algebra: al = σ1= ,a2=σ2=β=σ3 The polar coordinates have been taken for the 2- Dx, then the Hamitonian and the total angular momentum for a 2- Dhydrogen atom are represenated by Because [H,J3] = 0, the eigenfunctions of J3 are simultaneously also...

The fine structure of energy levels for a 2- D hydrogen atom has been obtained by solving the corresponding 2-D Dirac equation exactly. Owing to the low dimensionality, a3 does not appear in the equation. The 2-D representation has been taken for the simplified Dirac algebra: al = σ1= ,a2=σ2=β=σ3 The polar coordinates have been taken for the 2- Dx, then the Hamitonian and the total angular momentum for a 2- Dhydrogen atom are represenated by Because [H,J3] = 0, the eigenfunctions of J3 are simultaneously also eigenfunctions of H. The eigenfuctions of J3 correspond to eigenvalue Dirac equation HΨ(x)=EΨ(x) isWhere g(p), and f(p) are functions satisfying following equations and boundary conditions When p→0 or ∞, f(p)→0 and g(p)→0 By comparing energy levels of a 2-D hydrogen atom with those of a 3-Dhydrogen atom, it may be seen that decrease in energy levels is caused by reduction of dimensionality, but spacing between energy levels is increased.

对于二维氢原子,其狄拉克方程中不出现x3,对于因x3隐退而简化了的狄拉克代数可取二维表示,于是严格求得能级的精加结构:E=μ/,1+Z2a2/(v+np)2将二维和三维氢原子的能级作比较,可见维度降低导致相应能级降低而能级间隔增大.

 
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