You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for you great working on implementation of k-POD, which provides us an alternative way for clustering on data points with missing values.
However, I have one related question on this method:
I use k-POD as a method for my problem of clustering data.
Dataset (for example): number of data points=200, number of features=10, number of cluster=3, level of missing value is around 20%
And I notice that k-POD method gives me three cluster assignment(for example)
Thanks for you great working on implementation of k-POD, which provides us an alternative way for clustering on data points with missing values.
However, I have one related question on this method:
I use k-POD as a method for my problem of clustering data.
Dataset (for example): number of data points=200, number of features=10, number of cluster=3, level of missing value is around 20%
And I notice that k-POD method gives me three cluster assignment(for example)
data-1 --> cluster-1 (1 point)
data-2 --> cluster-2 (1 point)
data-3, data-4,..., data-100 --> cluster-3 (98 point)
My problem is that I want to at least two points in one cluster, do you have some suggesstion to solve this problem?
Any help would be appreciated and thanks for your time !
The text was updated successfully, but these errors were encountered: