Fuzzy Match: Words Levenshtein Distance Approach

[mshinn9999]

Hello all. I have a conceptual question on the Fuzzy Match tool (PURGE).  I am trying to de-dupe/consolidate University names.  After cleansing the data (de-duping, getting rid of spaces, etc.), I ran the Funny match logic and leveraged the "Generate Keys for Each Word" approach, along with the Words - Levenshtein Distance Match function method. 

Assuming that this is not too generic of a question, how do I get below sample data set as ONE single record vs 3?  Below represents the types of data patterns that I see.  Is there another setting that I should consider? (data is dummied up).

Mike

Texas A M Univ

Texas A M University

Texas A M University College Station

[alexnajm]

This is normal behavior because of the key generation - use a Unique tool afterwards to get a unique list of the fuzzy matches!