Trouble with Clustering Node in Model Studio

[mevargasm]

Hi! I'm working with the Model Studio Clustering node to segment a small database of 70 rows and 35 columns. Except for the ID, all columns are interval variables that were previously standardized. My pipeline is extremely simple and looks like this:

                                          

The results from the clustering node shows 5 clusters as the optimal number:

                                          

However, when exporting the data (wither from the Otput Data tab of the node, or using a Sve Data or Score Data), all rows display a null value in the _CLUSTER_ID_:

                                           

What could be causing the issue?

[sbxkoenk]

I have moved this post to 'Data Mining and Machine Learning' board (where it belongs).

Koen

[sbxkoenk]

Hello,

I would have to investigate.
What you see is weird and not normal behaviour of course.

But before reproducing (or trying to) in Model Studio, ... this question or remark :

The Model Studio VDMML clustering is built for big data. I'm not sure if it will react well on ( only ! ) 70 records with 35 variables.

If I would do the same, I would do it with a procedure (or with a task in SAS Studio).
Procedures that you can use are :

• PROC FASTCLUS (k-means)
• PROC CLUSTER (hierarchical clustering)
• PROC KCLUS (k-means and possibility to find out about "best" k with ABC criterion)
• PROC HPCLUS (High-Performance k-means clustering)
• PROC MODECLUS finds disjoint clusters of observations with coordinate or distance data by using nonparametric density estimation
• clustering with the Nonparametric Bayes Action Set (action nonParametricBayes.gmm) in PROC CAS. You can also use the GMM Procedure here!
• PROC MBC for Model-Based Clustering
  

Good luck,

Koen

[mevargasm]

Thank you very much. I ended up using PROC KCLUS for, as far as I can tell, it replicates Model Studio's Clustering node.