Challenge #131: Think Like a CSE... The R Error Message: cannot allocate vector of size...

[gawa]

Cannot reproduce issue(ver 2022.3) but

Spoiler

it should be datasize problem, and can be solve by deselecting unnecessary fields because cluster tools usually need a couple of fields.
And, csv file always load data as STRING, so using Autofield would help to reduce size

[olga_strubbe]

Thank you, @SydneyF!

This was my first time trying out predictive grouping tools.  The R-code is not supported in my workplace, but I was able to follow the logic and how the batch macro needs to be configured to split the workflow in smaller chunks to help solve the size error.  Thanks again!

Batch macro:

Workflow using the batch macro:

[Reesetrain2]

All,

Well, there was only the solution so I used the Decision Tree to check the Clustering as it fit with a R of .835, so very well done!

Spoiler

 

[Erin]

R errors are the worst. In my humble opinion....

[Bobbyt23]

Spoiler

I googled what the error meant and it indicated that the data was probably too big and the process was running out of RAM.

Two possible solutions:
Get more RAM
Reduce the data- You could get rid of anything unnecessary for the process, or batch the data up in to chunks to run through smaller datasets.

[ggruccio]

I applied the Principal Components solution that I originally posted on the thread in 2018.

Spoiler

Looks like the Factors (PC) did too good a job of identifying the clusters!  5PCs = 5 Clusters this time...