I assume that this problem was solved before. Help is very much appreciated.
Comparing different sets of data: Initial Situation: I do have a number of elements which can be fully or partially included in different sets of data. I would like to find out the set of data which has the biggist similarity to my search data set. Example: Elements: A,B,C,D,E,F Search Data Set: (B,C,D) Data Set I: (A,E,F) Data Set II: (C,D,E) Data Set III: (A,D,E,F) What algorithm finds out that Data Set II is most similar to the Search Data set? cheers Glenn --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to algogeeks@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/algogeeks -~----------~----~----~----~------~----~------~--~---
