Re: Principal Component Analysis and finding important weights
- From: "erdem" <salihoglu.erdem@xxxxxxxxx>
- Date: 14 Aug 2006 23:02:54 -0700
Hi,
In fact what I want to do is to learn the importance of the features in
a classification or optimization problem. At the time being I did not
choose the problem.
There are feature weightening methods that do what I want. As I
understood they find the importance of the features.
Is there anyway of using PCA to find the importance of the features of
the optimization or classification problem.
For instance take the problem Multidimensional Knapsack Problem. Is it
possible to learn the importance of the items in a MKP instance by
using PCA.
Thanks,
Erdem
.
- References:
- Principal Component Analysis and finding important weights
- From: erdem
- Re: Principal Component Analysis and finding important weights
- From: Allan Lyckegaard
- Re: Principal Component Analysis and finding important weights
- From: Martin Leese
- Principal Component Analysis and finding important weights
- Prev by Date: Re: Principal Component Analysis and finding important weights
- Next by Date: Invariant GHT code
- Previous by thread: Re: Principal Component Analysis and finding important weights
- Next by thread: Re: Principal Component Analysis and finding important weights
- Index(es):
Relevant Pages
|