This week, I am working to get the dynamic time warping functionality into my program. The process of doing so includes re-processing the features to include the time series, putting each series back together when we construct sequences, and then performing the DTW to generate a number that will be used to compute the kNN of each sequence which can then be used for predictions with the models. The processing time of these activities has gone up significantly since we have been using five different metrics with each of the F phase datasets. I am returning to school next week, and once I've completed the DTW processing all that will remain before we put together our second paper (The date for the reach journal we would like to submit it to is October 1), I am hoping I will have time to look again into the Agglomerative Hierarchical Clustering concept, which I did not successfully complete when we explored it earlier in the summer and then changed focus to the paper. We heard back
This week, I want to spend some time to look back at what we’ve
done thus far and regroup as I prepare for the summer. I want to clean up my
code, tie up loose ends and see if there are any unanswered questions that we’ve
passed over but that I may have time to review over the summer.
This semester, we’ve covered a lot of ground by way of data
exploration but not as much in terms of actual predictions. I want my work going
forward to be primarily based on what we’ve already done and focused on
obtaining actual results.
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