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
As mentioned last week, I spent some time this week getting up to speed on github and git command line tools. I definitely wouldn't consider myself an expert, and the concept of branching is still quite foreign to me, but I'm confident enough currently to work on Alexa and my repository without fear of deleting everything. We continue to not have patients enrolled in the study at St. Lukes. This upcoming week, I will continue my work on the all-subject statistic calculator and reading on sleep classification.