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
> >
>
