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-
-
-Points for Pap318 comparing R-GARD to A-GARD
-
-0. A main goal is to compare the two abovementioned GARD models and point
-out similarities and differences. We note the constraints on such a
-comparison, as the models are inherently different in some respects. But a
-later part of the paper will also deal with analyses and properties of R-
-GARD irrespective of such comparison.
-
-1. To better compare R-GARD with A- GARD, IL will generate A-GARD carpets
-using Euclidean distance instead of the dot product (H), which we currently
-use. We will also compare internally the difference between these two
-metrics when applied to the same data.
-
-2. We will also calculate the compotype counts of A-GARD with kmeans
-clustering by using Euclidean distance instead of dot product. We should
-check how this change affects the resulting number of compotypes. If for
-some reason this does not work easily, we will try a more phenomenological
-comparison.
-
-3. Choose carpets from R-Gard results for us to compare with similar
-carpets from A-GARD. These carpets should exhibit repeating compotypes,
-drift, and composomes.
-
-4. Calculate and display statistics to emphasize the dependence of various
-results on the parameters of R-GARD. Example: number of compotypes
-dependency on split size.