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From Chameera Wijebandara <chameerawijeband...@gmail.com>
Subject Re: Classify Handwritten Digits
Date Fri, 24 Jan 2014 09:55:11 GMT
Hi Koji

Thanks.
Ill try it


Thanks,
    Chameera


On Fri, Jan 24, 2014 at 3:11 PM, Koji Sekiguchi <koji@r.email.ne.jp> wrote:

> (14/01/24 13:00), Chameera Wijebandara wrote:
>
>> Hi,
>>
>> I am trying to classify handwritten digits using mahout classification.
>> Any
>> suggestion to come up with good solution?
>>
>
> In the Mahout training course, we have an exercise of handwritten character
> recognition with Mahout:
>
> http://soleami.com/blog/mahout-and-machine-learning-
> training-course-is-here.html
>
> In the exercise, we use Mahout's random forest.
>
> For those who are interested, there is a demo:
>
> http://rondhuit-demo.com/p/hwcr/recognition
>
> How to use demo:
>
> 1. Using a mouse, draw a digit ('0', '1', ..., '9') in the smaller box
> (HTML5 Canvas)
> 2. Click [Classify] button (Do not click more than once, please!)
> 3. Wait 15 seconds, you'll get the result in the larger box
>
> Note that we use the nearest neighbor method (not random forest) in this
> demo.
>
> Hope this helps.
>
> koji
> --
> http://soleami.com/blog/mahout-and-machine-learning-
> training-course-is-here.html
>

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