"Display of eigenvectors in Generalized Hebbian Algorithm. Is this a bug?"
Hello,
I'm applying a Generalized Hebian Algorithm (GHA) to compute a PCA on text data. I compute only the few first dimensions (3 to 10, thats the particularity of the algorithm that it can calculate only a certain number of dimensions). To get the eigenvectors, I print the "pre" output of the operator which gives an insight into the eigenvectors and eigenvalues computed by the operator. The problem is that when I ask for the eigenvectors, the model gives me only the first components (exactly the same number of components as the number of dimensions computed) in the term space in alphabetical order (so its not even chose among the importants terms)!
Is this a bug or is it normal (but then I don't really get the meaning of the eigenvectors in this algorithm)
Thanks for your help,
Barthélémy
I'm applying a Generalized Hebian Algorithm (GHA) to compute a PCA on text data. I compute only the few first dimensions (3 to 10, thats the particularity of the algorithm that it can calculate only a certain number of dimensions). To get the eigenvectors, I print the "pre" output of the operator which gives an insight into the eigenvectors and eigenvalues computed by the operator. The problem is that when I ask for the eigenvectors, the model gives me only the first components (exactly the same number of components as the number of dimensions computed) in the term space in alphabetical order (so its not even chose among the importants terms)!
Is this a bug or is it normal (but then I don't really get the meaning of the eigenvectors in this algorithm)
Thanks for your help,
Barthélémy