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Thierry_S
Super User

JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Hi JMP Community,

Windows 10 Pro, JMP 17.2

I am looking for an approach to display graphically the output of the Cluster Variable platform.

  1. I could recluster the variables using the general clustering platform and generate the associated dendrogram. However, I don't know which specific algorithm the Cluster Variables platform uses (Ward's method does not match the Cluster Variables output).
  2. I could potentially rebuild a dendrogram from the output of the Cluster Variable platform, but I must admit that I am unsure about the best approach to achieve this goal.

All suggestions are welcome.

Thank you.

 

Best,

TS

Thierry R. Sornasse
7 REPLIES 7

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

I'm not really certain what type of visualization you're looking for, but I like the Parallel Plots as a way to see the clusters. These are available in most (all?) of the clustering platforms, so you don't have to do it by hand. I've attached a data table with an example.

Jed_Campbell_2-1710875893946.png

 

Thierry_S
Super User

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Hi Jed,

 

Thank you for your answer. I am unsure how the Parallel Plot platform could be used on the Cluster Variable platform output, but I will explore it.

 

What I would like to achieve is to display the different clusters and their components as a dendrogram.

 

Thanks.

 

Best regards,

TS

Thierry R. Sornasse

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Ah, perhaps Red Triangle...Two Way Clustering would work for you. It shows the components (as colors) next to the dendrogram.

Jed_Campbell_0-1710881514263.png

 

Thierry_S
Super User

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Hi Jed,

 

Sorry for not explaining myself clearly. I am not talking about the Hierarchical or K Mean clustering platforms. I specifically referring to the CLUSTER VARIABLE platform. I am well aware of the multiple options in the Hierarchical or K Mean clustering platforms.

 

My questions are:

  1. What is the algorithm used by the CLUSTER VARIABLE platform Thierry_S_0-1710911572842.png

     

  2. Alternatively, how can I visualize (dendrogram) the relationship between clusters and members produced by the CLUSTER VARIABLE platform?

Thank you.

Best,

TS

Thierry R. Sornasse

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Hi Thierry,

 

Sorry, I see that you were clear from the start about Cluster Variables platform, but I just wasn't reading properly. I found 2 ways to make an almost dendrogram, perhaps others in the community can improve these or provide better ideas. I started by making the Cluster Members table into a data table. The first method was a Diagram:

Jed_Campbell_0-1710945319434.png

To force this into just one diagram instead of a separate one for each cluster, I added a '0' cluster to the bottom of the data table:

Jed_Campbell_2-1710945414091.png

I also made something in Graph Builder:

Jed_Campbell_3-1710945463165.png

To get this, I had to add a 'Main' column to the data table, and I had to create a manual Value Ordering sort order for the Members column.

 

I attached a data table, and I'm hoping others might have better ideas (perhaps graphing guru @scwise).

 

Thanks for helping me see what you're looking for.

Jed

 

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Have you read Statistical Details in the documentation for the Variable Clustering?

Thierry_S
Super User

Re: JMP 17.2 > Variable Clustering > Algorithm and Output Display?

Yes, but I may have missed the specific information I seek.

 

Specifically, I could not find the clustering algorithm used by the CLUSTER VARIABLE platform.

Thierry R. Sornasse