yes, stochastic SVD integrates PCA workflow with benefits for less than dense inputs.
On Sun, Sep 22, 2013 at 10:20 PM, <[email protected]> wrote: > My question,....... > Is there an algorithm that integrates the SVD and PCA in mahout > > > Yours sincerely > > Irfan Abbas > > Irfanimovic Abbasevic > https://www.facebook.com/irfan.abbas22 > > > ________________________________ > Dari: Ted Dunning <[email protected]> > Kepada: "[email protected]" <[email protected]> > Dikirim: Minggu, 22 September 2013 1:59 > Judul: Re: Introduce > > > What is your question? > > Sent from my iPhone > > On Sep 21, 2013, at 8:42, [email protected] wrote: > >> >> >> Dear,.. >> >> First of all allow me to introduce myself >> >> My name: Irfan abbas >> Education: master of computer from Dian University Nuswantoro Semarang >> (Central Java) >> Country of origin: Indonesia >> >> Today I was researching about BIG DATA by Title >> >> "PRELIMINARY DESIGN MODEL DATA PROCESSING WITH ALGORITHM integrate >> DIMENSIONAL REDUCTION USING SINGULAR VALUE DECOMPOSITION (SVD) ALGORITHM AND >> PRINCIPAL COMPONENT ANALYSIS (PCA) MAHAOUT ON APACHE BIG DATA PROCESSING FOR >> MEDICAL RECORD" >> >> I hope that in this forum I could ask a lot about my research design >> >> thank you >> >> Yours sincerely >> >> Irfan Abbas >> Google Terjemahan untuk Bisnis:Perangkat PenerjemahPenerjemah Situs >> WebPeluang Pasar Global
