The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
find common attributes among two examplesets
Good Day!
i have two example sets with many attributes which are not same completely.
want to find common attributes among them and filter example-sets based on common attributes only.
examples (values) are nor important. the data-set structure is only issue.
Regards
i have two example sets with many attributes which are not same completely.
want to find common attributes among them and filter example-sets based on common attributes only.
examples (values) are nor important. the data-set structure is only issue.
Regards
0
Answers
This allows you to merge the two datasets, and then you filter out the ones wich are not common.
One way to do this would be to generate an identifier for both sets (e.g. generate attribute set1 and set2 for both respectively), the create a superset, filter cases that have both set1 and set2, next remove empty attributes.
Bit hard to explain without better understanding the actual data but it's a quick and dirty way to achieve this.
hi kayman, hi sgenzer:
I have the same issue, however I find it hard to execute the hint you have given.
So I my case have two examplesets: Both are keyword-document-matrices, so text data converted to structural data in which each attribute defines a keyword, that appears in the set of documents and each example represents a document.
Now I want to find out which keywords both matrices (Not Examples/Documents) have in common.
I tried both of the described ways, but none was sufficient.
Is there anything that I have to keep in mind doing that?
Scott
Hi @sgenzer, sorry.. sure please find the XML code and the data enclosed.
If there is anything wrong with the uploading format, please let me know!