search for: parafac

Hi, I am using the package PTAK and in particular the command Candpara to perform the Parafac factorizationor of a tensor. The results are not encouraging as I expected, I'm starting a phase of analysis to see if there are errors. I pose a question and I hope you can help me. The command to run the factorization is: ## CANDECOMP/PARAFAC results<- CANDPARA(data_matrix, dim=3) summar...

...id user 4 ? ? ? 4 ... So user 1 don't like item 1 but he likes so much item 4, for item 2 and 3 he hasn't expressed a rating, etc. I need to construct a tensor with n users, m items and 21 occupations. After I have construct the tensor I want apply Parafac. I read data from a CSV file and build each matrix for each occupation. Didier Leibovici (author of PTAk package) suggested to me: ok that's bit clearer you have 21 matrices ( 1 for each occupations) of users rating their preferences (from 1 to 5 but without rating all of them: missing values...

...method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and PARAFAC/CANDECOMP with these extensions. please send comments + looking for nice not too big multi-arrays for the next release demos Didier -- Didier G. Leibovici didier at fmrib.ox.ac.uk +44 (0)1865 222 739 Image Analysis Group fax:+44 (0)1865 222 717 Oxford University,...

...method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and PARAFAC/CANDECOMP with these extensions. please send comments + looking for nice not too big multi-arrays for the next release demos Didier -- Didier G. Leibovici didier at fmrib.ox.ac.uk +44 (0)1865 222 739 Image Analysis Group fax:+44 (0)1865 222 717 Oxford University,...