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clustering of variables can vs clustering of variables

Both phrases are correct, but they are used in different contexts. "Clustering of variables can" is typically followed by a verb or action, while "clustering of variables" is a noun phrase used to describe a specific concept or process.

Last updated: March 19, 2024 • 778 views

This phrase is correct when followed by a verb or action, indicating the potential or ability of variables to cluster.

"clustering of variables can "

This phrase is used to describe the capability or possibility of variables to cluster together based on certain criteria or patterns.

Examples:

  • Clustering of variables can help identify patterns in data.
  • Clustering of variables can lead to more accurate predictions.
  • Clustering of variables can be a useful technique in data analysis.
  • Clustering of variables can then be useful for dimension reduction and variable selection. Several specific methods have been developed for the clustering of ...
  • Hierarchical clustering of variables can aid in the identification of unique variables, or variables that make a unique contribution to the data. Clustering can also ...
  • Nov 8, 2012 ... Hierarchical clustering of variables can aid in the identification of unique variables, or variables that make a unique contribution to the data.
  • Clustering of variables can then be useful for dimen- sion reduction and variable selection. Several specific methods have been developed for the clustering of ...

Alternatives:

  • The clustering of variables can
  • Clustering of variables may
  • Clustering of variables could
  • Clustering of variables will

This phrase is correct as a noun phrase to describe the process or concept of variables grouping together based on certain characteristics.

"clustering of variables "

This phrase is used to refer to the process of grouping variables together based on similarities or patterns, often in the context of data analysis or statistics.

Examples:

  • The clustering of variables is an important step in data analysis.
  • Researchers studied the clustering of variables to understand underlying patterns.
  • Understanding the clustering of variables can improve predictive modeling.
  • Dec 1, 2011 ... Clustering of variables is as a way to arrange variables into ... Keywords: Dimension reduction, hierarchical clustering of variables, k-means ...
  • Dec 3, 2013 ... Package 'ClustOfVar'. February 19, 2015. Type Package. Title Clustering of variables. Version 0.8. Date 2013-03-06. Author Marie Chavent ...
  • Ricco Rakotomalala. Tutoriels Tanagra - http://tutoriels-data-mining.blogspot.fr/. 1 . Ricco RAKOTOMALALA. Clustering of variables around latent components ...
  • 2 The methods in ClustOfVar. 3 Illustration on simple examples. 4 Concluding remarks. UseR! 2011. ClustOfVar: an R package for the clustering of variables ...

Alternatives:

  • Variable clustering
  • Variables clustering
  • Clustered variables
  • Variables grouping
  • Grouping of variables

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