Hi Angus,
Thank you for your detailed explanation.
I have already implemented neural network approach and had success rate.
And at the moment the requirement of doing this is getting familiar with
mahout. Are there any tutorial about K -means or logistic regression with
mahout?
Thank,
Chameera.
On Fri, Jan 24, 2014 at 9:50 AM, Angus Macnab <[email protected]>wrote:
> This is a pretty classic machine learning problem and can be handled with
> several different algorithms. Logistic regression is the obvious choice,
> but clustering algorithms will work fine also. Just decompose the pixels
> into a really long vector and train your algorithm with the input-output
> pairs. You can get 100% accuracy on this pretty easily if you are careful
> with your bias-variance decomposition. This is a fun one for neural
> networks too!
>
> Essentially any machine learning book will delve into greater detail on
> this as the US postal digit data has been around for a long time. I think
> Kaggle even had this as a training exercise for a while, so there's
> probably a ton of discussion of various methods and algorithms on their
> message boards.
>
> For kicks why don't you compare k-means clustering to logistic regression
> using Mahout?
>
> -Angus
>
>
>
>
> On Thu, Jan 23, 2014 at 8:00 PM, Chameera Wijebandara <
> [email protected]> wrote:
>
> > Hi,
> >
> > I am trying to classify handwritten digits using mahout classification.
> Any
> > suggestion to come up with good solution?
> >
> > --
> > Thanks,
> > Chameera
> >
>
--
Thanks,
Chameera
