Tagged Questions

0
votes
0answers
15 views

How to get average two features from the front and next impressions of the current fingerprint impression?

I am working on a Fingerprint recognition scheme using Assembling Invariant Moments. At the time of feature extraction ROIs would be failed to acquire for computing the features, so we chose to ...
7
votes
3answers
168 views

What can cause PCA to worsen results of a classifier?

I have a classifier that I'm doing cross-validation on, along with a hundred or so features that I'm doing forward selection on to find optimal combinations of features. I also compare this against ...
3
votes
0answers
115 views

Sensible to include ratio as a variable in logistic regression?

I'm creating a generalised linear regression using a binomial link function for two variables A and B. From looking at the data it appears that A/B may have discriminatory effect. Is it sensible to ...
15
votes
5answers
980 views

Detecting significant predictors out of 300 independent variables

In a dataset of two non-overlapping populations (patients & healthy, total $n=60$) I would like to find (out of $300$ independent variables) significant predictors for a continuous dependent ...
4
votes
2answers
2k views

Using PCA for feature selection

I'm new to feature selection and I was wondering how you would use PCA to perform feature selection. Does PCA compute a relative score for each input variable that you can use to filter out ...
3
votes
4answers
545 views

How to know when to stop reducing dimensions with PCA?

I'm using PCA to reduce dimensionality before I feed the data into a classifier. My bootstrap/cross-validation has shown a significant reduction in test error as a result of applying PCA and keeping ...
1
vote
3answers
687 views

Use of PCA analysis to selection of variables for a regression analysis

I have too many environmental variables to use in a multiple regression analysis. If I use all the variables to models are just to complex. The use of the PCA axis in the regression analysis was ...
0
votes
2answers
572 views

How to integrate principal components with GLM?

How would I integrate the output of a principal components analysis with a GLM (assuming the PCA is used for variable selection for the GLM)?
3
votes
1answer
366 views

Which are the most effective methods for selecting independent variables?

Some clustering algorithms require independence of variables but (especially working with real data) variables are often highly correlated. I have been suggested to apply a Principal Component ...