K-means number of clusters

[Khaoula Ajbal]

Hi, 

I am working on a dataset that I would like to cluster using k-means. But in the process I  had to choose the varial K, and since it affects the results i was wondering is there an optimal way to choose that variable? I read on forums about the elbow effect and the square root of the number of data points divided by two, but with about 500 instances, my k equaled 14 or so. and I couldn't conclude much out of it . 

Does weka provide a solution for this?

Best regards, 

Khaoula 

[Ian Witten]

Yes. You should register for Data Mining with Weka and look at the Activity associated with Lesson 3.6 (https://weka.waikato.ac.nz/dataminingwithweka/activity?unit=3&lesson=6).

ian

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[Khaoula Ajbal]

Thank you for your response.

Le 29 nov. 2016 00:06, "Ian Witten" <ian.w...@gmail.com> a écrit :

Yes. You should register for Data Mining with Weka and look at the Activity associated with Lesson 3.6 (https://weka.waikato.ac.nz/dataminingwithweka/activity?unit=3&lesson=6).

ian

On 28/11/2016, at 2:48 AM, Khaoula Ajbal <ajbal....@gmail.com> wrote:

Hi, 

I am working on a dataset that I would like to cluster using k-means. But in the process I  had to choose the varial K, and since it affects the results i was wondering is there an optimal way to choose that variable? I read on forums about the elbow effect and the square root of the number of data points divided by two, but with about 500 instances, my k equaled 14 or so. and I couldn't conclude much out of it . 

Does weka provide a solution for this?

Best regards, 

Khaoula 

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