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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 • 651 views

clustering of variables can

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

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

clustering of variables

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

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

Related Comparisons

List of applications vs Applications list Percentage difference vs Percentage of variations clustering of variables can be performed vs clustering of variables can be done detecting parameters that can vs detecting parameters that clustering of variables can be vs clustering of variables can be done of two PCs vs variables of PCs

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