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dimensional reduction

  • 降维:在数据处理和机器学习中,降维是一种减少数据集中特征数量的方法,以便更简单、更快速地分析数据,同时尽量保留原始数据的结构和信息。

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  数据降维

...数据降维;流行假设[gap=1168]ocation (LDA) model; Label Propagation (LP) algorithm; semisupervised learning; dimensional reduction; manifold assumption...

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  • 数据降维 - 引用次数:2

    Firstly, dimensional reduction methods were studied and a fast algorithm of kernel Fisher discriminant analysis based on the idea of space transformation was proposed to solve the problems caused by the high dimensionality of hyperspectral imagery.

    在研究高光谱图像数据降维技术的基础上,基于空间变换的思想,提出一种快速核Fisher鉴别分析算法。

    参考来源 - 基于核方法的高光谱图像小目标检测算法研究
  • 减维 - 引用次数:3

    参考来源 - 特征造型技术在有限元分析建模中的应用研究

·2,447,543篇论文数据,部分数据来源于NoteExpress

Dimensional reduction

  • abstract: In physics, a theory in D spacetime dimensions can be redefined in a lower number of dimensions d, by taking all the fields to be independent of the location in the extra D − d dimensions.

以上来源于: WordNet

双语例句

  • Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.

    高斯过程变量模型最近提出比较流行的无监督方法

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  • The general theory of relativity studies super dimensional space caused by spatial curves using the method of dimensional reduction.

    广义相对论运用方法研究空间弯曲导致空间

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  • The critical function and critical rules based on the spectrum characteristic selection and the process of spatial dimensional reduction were established.

    通过光谱特征选择空间处理建立判别函数,确定了判别规则

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