feature-selection

How to get features of separate disconnected closed curves(contour) using fourier transform?

FT can only be used to select feature for a single closed curve, how can I use it for several separate disconnected closed curves as a whole? A solution in MATLAB will be the best though not mandatory. ...

How to use R Random forests to reduce attributes having no discrete classes?

I want to use Random forests for attribute reduction. One problem I have in my data is that I don't have discrete class - only continuous, which indicates how example differs from 'normal'. This class attribute is a kind of distance from zero to infinity. Is there any way to use Random forest for such data? ...

Algorithms and methods for attribute/feature selection?

I have data with continuous class and I'm searching for good methods to reduce number of attributes. Now I'm using correlation based filters, random forests and Gram–Schmidt algorithm. What I want to achieve is answer which attributes are more important/relevant to class attribute than others. By using methods that I mentioned befor...

Feature selection using Gram-Schmidt orthogonalization in R

Is there any package in R that contains algorithm for feature selection using Gram-Schmidt orthogonalization? ...

Reducing dimension of dataset

Hi, I'm trying to reduce dataset dimension. PCA is a good metric but that gives me new dataset. My goal is to determine from number of events (e.g. 60) and number of trials (e.g. 6) which events are more relevant. For example: 1st, 3rd, 21st, 45th ... (N total) events are good enough to approximate behavior of dataset. That will al...