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as a dimensional reduction tool vs as a dimensional reduction tool in

Both phrases are correct, but they are used in different contexts. 'As a dimensional reduction tool' is a concise way to describe the tool's purpose, while 'as a dimensional reduction tool in' is used when specifying the context or field where the tool is applied.

Last updated: March 17, 2024

as a dimensional reduction tool

This phrase is correct and commonly used to describe a tool that is used for dimensional reduction.

This phrase is used to succinctly describe a tool that is utilized for the purpose of dimensional reduction.

Examples:

  • Principal Component Analysis is commonly used as a dimensional reduction tool.
  • The algorithm serves as a dimensional reduction tool in machine learning applications.
  • show how PDA, when effective as a dimensional reduction tool, can provide a rep- resentation of functional data more easily interpretable than FPCA and that ...
  • Mar 23, 2015 ... In the case of the PCA, it is used as a dimensional reduction tool able to eliminate those variables that contribute the least to data variance, ...
  • use as a dimensional reduction tool and gives an alternative explanation for their empirical success in various data analysis applications, such as spectral ...
  • May 22, 2014 ... 2 PDA as a dimensional reduction tool. Let {xi }i=1,...,N be a set of N real-valued functional data xi = xi (·), defined on the common domain (a, b).

Alternatives:

  • as a tool for reducing dimensions
  • as a method for dimensionality reduction
  • as a technique for reducing the number of dimensions
  • as a means of reducing dimensionality

as a dimensional reduction tool in

This phrase is correct and is used when specifying the context or field where the dimensional reduction tool is applied.

This phrase is used to indicate the specific area or domain where the dimensional reduction tool is employed.

Examples:

  • The software is used as a dimensional reduction tool in the field of bioinformatics.
  • The technique functions as a dimensional reduction tool in data visualization.
  • nique mainly appreciated as a dimensional reduction tool in data analysis. Many different but equivalent definitions of LPCs are known (see [23]) concerning in ...

Alternatives:

  • as a tool for reducing dimensions in
  • as a method for dimensionality reduction in
  • as a technique for reducing the number of dimensions in
  • as a means of reducing dimensionality in

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