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.

Show examples from the web [+]

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.

Show examples from the web [+]

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

How TextRanch works

Fast and reliable proofreading, editing, and language advice tailored to your needs.

1. Choose Your Service

Quick Text Editing

Emails and short texts
Proofreading & editing
Ready in 5-10 minutes

SUBMIT YOUR TEXT NOW

Document Editing

Documents of any type (*.docx)
Advanced & Premium editing
Ready in as little as 4 hours

UPLOAD YOUR DOCUMENT

Ask an Editor

Personalized answers to your language questions
Expert guidance on grammar, style, and usage
Ready in 24 hours

ASK YOUR QUESTION

Upload your document or paste your text directly into our platform. Your text is reviewed and refined by our expert editors (real people, not machines) who understand the nuances of English. Expect corrections, improvements, and insightful suggestions that enhance the clarity, tone, and professionalism of your writing.

3. Receive Your Polished Text

In just a few minutes (or hours for longer documents), you'll receive your corrected text. Review the changes, make any final adjustments, and confidently share your polished English with the world.
You can count on a personalized, friendly service every time you use TextRanch. We're committed to helping you make a great impression with every word you write.

We proofread and edit these types of texts and documents:

Short texts Business Emails Personal Emails Social media posts Resume and Curriculum Vitae Business documents Sales proposal Research and academic papers Thesis Dissertation Essays Articles Blog posts and much more....

Why choose TextRanch?

Complete Privacy

Your texts are safe and secure with us. We never share your information with third parties.

Affordable Pricing

No subscription fees and rates up to 50% cheaper than other online editing services.

100% Satisfaction

We guarantee that you'll be satisfied with the quality of our service or your money back.

Top Customer Service

Our team is here to help you with any questions you may have. Contact us anytime.

Our Customers Love Us!

We have an average rating of 4.79 stars based on 283125 votes, and

4.9 Excellent - Reviews 2.137

"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"

Zubair
from Bangladesh

"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"

Arturo
from Mexico

"In a world of text messages and online communication, this is great to have as a live tool. Thank you."

Selena
from USA

"Wow, it's just so excellent. I never would have believed I could have a sure and excellent English companion. Thanks, TextRanch."

Ifiok
from Nigeria

"This is my first time using TextRanch, and I like how the editors take time to correct my text. To everyone who has never used TextRanch before, I highly recommend trying it."

Wilson
from France

"It is an amazing source of feedback because, as a non-native speaker, I really need to have a reliable helper correct my text."

Susan
from Germany

clustering of variables can vs clustering of variables

"clustering of variables can "

"clustering of variables "

Related Comparisons

2. Submit Your Text

3. Receive Your Polished Text