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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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)?
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 ...