Re: K-means clustering using native functions

Hi Caludia,

my experiences with K-Means Clustering shows that it is much faster and 
more flexible than a (direct) database approach to perform it in 
computer memory.
Usually for the most widely used programming languages still solutions 
(more or less modular) exist.
Primarily datas path DB -> K-Means Module has to be done.

Alf.


Am 17.10.2013 07:21, schrieb Nunez Robinson, Claudia Isabel:
> Hi,
>
> I'm new working with the mysql code and have couple of questions I hope the members of this mailing list can help me to answer.
>
> I would like to implement a k-mean clustering function in mysql using the native functions in mysql. In order to assign an element/tuple to a cluster, I need to do some pre-computations using all the tuples in a given table. I know that due to the atomicity property, this is probably very hard to achieve using native functions.
>
> So, my question is, is it possible to access/read all the tuples in a table from a native function? If the answer is yes, can you point me to a current function that does this (I haven't found any so far). If the answer is no, could you recommend another right way of doing this?
>
> Thanks for your kind reply,
>
> Claudia
>
>
>
>
>
>


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