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time series: predicting an aberrant year
1. 200 students
2. 10 years of performance data for those students
3. 10 variables each year for each student
So, the questions.
1. Is there a way to use an unsupervised classifier to "cluster" student-years to identify aberrant performance. (ie: the student has a really good or a really bad year)
2. Assuming that one of the classifications amounts to a "bad year," are there techniques that would allow us to look at the time series data to predict if the coming year is going to be good or bad.
I appreciate any help or pointers you can give. I think right now I am trying to wrap my head around working with time series data, I am pretty comfortable modeling data and conditions that are static. Thanks, Chris