Incorrect scikit-learn test result

Issue Description

According to the test case listed on the sci-kit learn webpage, the affinity propagation algorithm should identify 3 clusters.

No suggested fix, but this should be debugged to ensure the algorithm is being called appropriately.

See run_tests --re=framework/PostProcessors/DataMiningPostProcessor/Clustering.AffinityPropogation

This review should occur before any development is performed as a response to this issue.

[x] 1. Is it tagged with a type: defect or improvement?
[x] 2. Is it tagged with a priority: critical, normal or minor?
[x] 3. If it will impact requirements or requirements tests, is it tagged with requirements?
[x] 4. If it is a defect, can it cause wrong results for users? If so an email needs to be sent to the users.
[x] 5. Is a rationale provided? (Such as explaining why the improvement is needed or why current code is wrong.)

This review should occur when the issue is imminently going to be closed.

[x] 1. If the issue is a defect, is the defect fixed?
[x] 2. If the issue is a defect, is the defect tested for in the regression test system? (If not explain why not.)
[x] 3. If the issue can impact users, has an email to the users group been written (the email should specify if the defect impacts stable or master)?
[x] 4. If the issue is a defect, does it impact the latest stable branch? If yes, is there any issue tagged with stable (create if needed)?
[x] 5. If the issue is being closed without a merge request, has an explanation of why it is being closed been provided?