used as a dimensionality reduction tool vs used as a dimensional reduction tool

Both phrases are correct, but they are used in slightly different contexts. 'Used as a dimensionality reduction tool' is more commonly used in the field of data science and machine learning, while 'used as a dimensional reduction tool' is less common and may refer to reducing the number of dimensions in a physical or abstract space.

Last updated: March 17, 2024 • 607 views

used as a dimensionality reduction tool

This phrase is correct and commonly used in the field of data science and machine learning.

This phrase is used to describe the application of a method or technique to reduce the number of features or variables in a dataset, typically in the context of data analysis or machine learning.

Show examples from the web [+]

regression models have been used as a dimensionality reduction tool for modeling of sparse covari- ance structures in genomic applications (West, 2003; ...
example, latent factor regression models have been used as a dimensionality reduction tool for modeling of sparse covariance structures in genomic ...
regression models have been used as a dimensionality reduction tool for modeling of sparse covari- ance structures in genomic applications (West, 2003; ...
regression models have been used as a dimensionality reduction tool for modeling of sparse covariance structures in genomic applications (West, 2003; ...

Alternatives:

utilized as a dimensionality reduction tool
employed as a dimensionality reduction technique
applied as a dimensionality reduction method

used as a dimensional reduction tool

This phrase is correct but less commonly used. It may refer to reducing the number of dimensions in a physical or abstract space.

This phrase can be used to describe the process of reducing the number of dimensions in a physical or abstract space, such as in mathematics or physics.

Show examples from the web [+]

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, ...
projection is used as a dimensional reduction tool to remove collinearity. This will simplify the IOHMM model. Now the input variables are transformed to feature ...

Alternatives:

utilized as a dimensional reduction tool
employed as a dimensional reduction technique
applied as a dimensional reduction method

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used as a dimensionality reduction tool vs used as a dimensional reduction tool