9/15: Present hierachical bisecting k-means clustering algorithm at NLP Lab Meeting
9/25: Finish LogCounter (or set it aside for near-term experiments)
9/21: Label with name for every PC
9/25: Get a copy of Hal's evalutation script
9/30: Figure out the profiling situation - JProfiler
10/2: Send me your 598R PowerPoint
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10/6: Factor clustering away from classification
10/6: Hoist computation out of “foreach document” loop and getProbabilities() for anything not specific to the current document. e.g., logDistOfC
10/13: Mine Hal's script for good metrics, etc.
10/11: Fix Adjusted Rand index calculation
11/1: Prepare 10-15 minute presentation detailing your current activities for a CS + Machine Learning audience at the UofU for 11/2.
11/3 : Implement P, R, and F_1 as metrics.
11/10 : Implement Variation of information metric