Skip to content

Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset.

License

Notifications You must be signed in to change notification settings

alvarodemig/Multidimensional-Scaling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Multidimensional-Scaling

Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset.

Dataset: clean version of the "Lending Club Dataset". https://www.kaggle.com/wendykan/lending-club-loan-data/data

The MDS is used to study the categorical variable "Purpose"

Language: R

About

Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages