Sounds like dimensionality reduction to me. You may want to use ssvd -pca
Apologies for brevity. Sent from my Android phone.
-Dmitriy
On May 21, 2013 6:27 AM, "Rajesh Nikam" <rajeshni...@gmail.com> wrote:
> Hello Ted,
>
> Thanks for reply.
>
> I have started exploring SVD based on its mention of could help to drop
> features which are not relevant for clustering.
>
> My objective is reduce number of features before passing them to clustering
> and just keep important features.
>
> arff/csv==> ssvd (for dimensionality reduction) ==> clustering
>
> Could you please illustrate mahout props to join above pipeline.
>
> I think, Lanczos SVD needs to be used for mxm matrix.
>
> I have tried check ssvd, I have used arff.vector to covert arff/csv to
> vector file which is then give as input to ssvd and them dumped U, V and
> sigma using vectordump.
>
> I see most of the values dumped are near to 0. I dont understand is this
> correct or not.
>
>
> {0:0.01066724825049657,1:0.016715498597386844,2:2.0187750952311708E-4,3:3.401020567221039E-4,4:-1.2388403347280688E-4,5:6.41502463540719E-5,6:-1.359187582538833E-4,7:6.329813140445419E-5,8:1.670015585746444E-4,9:3.5415113034592744E-4,10:7.108868213280763E-4,11:0.020553517552052456,12:-0.015118680942548916,13:0.007981746711271956,14:-0.003251236468768259,15:0.0038075014396303053,16:-0.0010925318534013683,17:-0.0026943024876179833,18:-0.001744794617721648,19:-0.0024528466548735714}
>
> {0:0.029978614322360833,1:-0.01431521245087889,2:1.3318592088199427E-4,3:1.495356283071516E-4,4:8.762709213918985E-5,5:1.2765191352425177E-
>
> Thanks,
> Rajesh
>
>
>
> On Tue, May 21, 2013 at 11:35 AM, Ted Dunning <ted.dunn...@gmail.com>
> wrote:
>
> > Are you using Lanczos instead of SSVD for a reason?
> >
> >
> >
> >
> > On Mon, May 20, 2013 at 4:13 AM, Rajesh Nikam <rajeshni...@gmail.com>
> > wrote:
> >
> > > Hello,
> > >
> > > I have arff / csv file containing input data that I want to pass to
> svd :
> > > Lanczos Singular Value Decomposition.
> > >
> > > Which tool to use to convert it to required format ?
> > >
> > > Thanks in Advance !
> > >
> > > Thanks,
> > > Rajesh
> > >
> >
>
