Hi, I have a larger assignment to work on for my Machine Learning course this semester and I can pick one of 4 problems to solve.
One of them, is implementing self organizing maps and using them to cluster the Localization Data for Person Activity Data Set [1] and evaluate the clustering with the Dunn Index and F-measure. I vaguely recall talking to Ted about self organizing maps as a way of achieving dimensionality reduction, so that's where it could be useful. I need to pick a problem anyway and was wondering if there's any sort of interest in this one. If yes, I could work on an implementation for Mahout (likely non MapReduce, at least for the purposes of this assignment). Thoughts? [1] http://archive.ics.uci.edu/ml/datasets/Localization+Data+for+Person+Activity
