We collect more and more data and it is becoming increasingly difficult to make meaning out of it. I have found the following picture from MATLAB Fuzzy Logic toolbox to perfectly depict my current thought process.
What I would like to do is to present one simple way to make the meaning out of session GPS data using LOF and Clustering. Most GPS units produce multiple features p compared to number of observations n, so we are basically dealing with high-dimensional data where classical approaches such as least squares linear regression are not appropriate. Besides, we do not know what is the predicted/outcome variable, hence we are dealing with unsupervised learning problem.
Here is one randomly generated session GPS output:
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