I'm trying to figure out how to use the Splunk Machine Learning Toolkit to identify common patterns between items (profiling to predict when something is the same). For example a set of domain controllers. Does anyone have experience with this use case or an example?
If you trying to find common patterns in numerical fields then you can use Correlation Matrix algorithms on your whole dataset consisting of only numerical values to find relations between them. This algorithms is not already available in MLTK but is very easy to implement using ML-SPL API as the code for the algorithms is already written and you just have to put it in your app files. Link for ML-API : http://docs.splunk.com/Documentation/MLApp/4.0.0/API/Introduction. And Link for the pre-written algorithm: http://docs.splunk.com/Documentation/MLApp/4.0.0/API/CorrelationMatrix . Hope this helps , if this is not what you were looking for let us know.