Skip to content

A mathematical analysis and implementation of kernel PCA 🤖

Notifications You must be signed in to change notification settings

chus-chus/kernelPCA

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AA2, kernel project

Cristina Aguilera, Jesus Antonanzas

November 2019

The kPCA class we implemented is in "kernelpca.R", and it is the one used on our experiments. There is a small tutorial on how to use our class at the beginning of "Experiments.R", but its use was heavily inspired by "kernlab::kpca".

The experiments commented in the report are in the file "Experiments.R", which can be executed end-to-end as is. Nevertheless, it is almost like a small step-by-step guide.

Dependencies of "Experiments.R" are: 'kernlab', 'datasets', 'mlbench', 'BKPC' and our class 'kernpca.R'.

Dependencies of "kernpca.R" are: 'kernlab'.

About

A mathematical analysis and implementation of kernel PCA 🤖

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages