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This is a solid question which I'm sure would elicit some discussion if it were a bit more specific. Sharing a packaged workbook, tableau public link, screenshots, etc. could ground this discussion to be about a specific viz and could help give other users some more context.
Thanks Diego medrano! You are right!
See this VIZ using superstore data source.
First I have created a scatter plot of sales and profit. Than I used clusters to understand my different data groups. In one chart, I keep the clusters dragged from the Analytics tab in Tableau. In the second chart, I have created a dimension from these clusters.
My goal is not the charts themselves but the additional data I can learn about my clusters' attributes. Let's say I want to know for every cluster what are it's boundaries.
Also, let's say that I want to learn about these different clusters by segment. So I added the segment as a filter. Now, on the dashboard you can see the difference between the static and dynamic clusters when I use filter: try to select "home office" and see that dynamic clusters chart is creating the clusters again, by the chosen segment - which is great and better for the Home office dept. analysis, but than we can't use the table.
I'm trying to find a solution for doing both dynamic clusters and learning about their different attributes like I did in the table.
something that you could try would be to use a LOD expressions in your clustering parameters to fix them to the global variables. I am not entirely sure if this will work though, because clusters are a table calculation and will by nature change when the values shown in the table are changed.