I see many ways like elbow method, silhouette score, they all define the
cluster number after clustering.
Especially the elbow method, I need to monitor the relation with cluster
number and find the elbow.
But if the dataset is too huge to let me find the elbow and I don't even
how many cluster n
A common rule of thumb is number of clusters = sqrt(number of items/2)
http://www.ijarcsms.com/docs/paper/volume1/issue6/V1I6-0015.pdf
On Wed, 26 Jun 2019 at 12:32, lampahome wrote:
> I see many ways like elbow method, silhouette score, they all define the
> cluster number after clustering.
>
>
Jamie Bull 於 2019年6月26日 週三 下午11:02寫道:
> A common rule of thumb is number of clusters = sqrt(number of items/2)
> http://www.ijarcsms.com/docs/paper/volume1/issue6/V1I6-0015.pdf
>
>>
>>
If I found it the number is too much, how to merge those groups?
Calculate each silhouette score of groups or el