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From subash basnet <yasub...@gmail.com>
Subject Re: Multi-dimensional[more than 2] input for KMeans Clustering inApache flink
Date Tue, 01 Mar 2016 16:58:44 GMT
Hello Fabian,

Thanks! Is KMeans only the clustering implementation currently existing in
flink.


Best Regards,
Subash Basnet

On Tue, Mar 1, 2016 at 5:22 PM, Fabian Hueske <fhueske@gmail.com> wrote:

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>
> Hi Subash,
>
> the KMeans implementation in Flink is meant to be a simple toy example and
> should not used for serious analysis tasks.
> It shows how the DataSet API works by implementing a well-known algorithm.
>
> Nonetheless, the example can be easily extended to work for three or more
> dimensions.
> You would need to adapt the methods to compute the distance and the
> location of the new center.
>
> Best, Fabian
>
> 2016-03-01 17:07 GMT+01:00 subash basnet <yasubash@gmail.com>:
>
>> Hello all,
>>
>> Currently I find only two-dimension input possible for the KMeans
>> Clustering in flink.
>>
>> Is there any implementation already or what should be the approach to
>> implement
>> more than 2 dimensional input for KMeans in flink?
>> Or is there any other clustering method which taking more than two
>> dimensional data as input implemented in flink?
>>
>>
>> Best Regards,
>> Subash Basnet
>>
>
>
>

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