Compare cluster results using overlapping and non-overlapping event definitions

USGS-R / regional-hydrologic-forcings-ml

Repo for machine learning models for regional prediction of hydrologic forcing functions. Includes probabilistic seasonal high flow regions for CONUS, and prediction of high flow metrics for selected regions.

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Create targets that do cluster analysis of flow metrics for non-overlapping event definitions (flow metrics computed in #160).

Evaluate cluster results for individual quantiles, and see if aggregation of quantiles is important
If yes, evaluate aggregation based on: 1. current method (4 metrics x 4 seasons x 5 quantiles = 80 columns), 2. computing metrics for the range to be aggregated (e.g., 50-70, 75-95) (4 metrics x 4 seasons x 1 quantile range = 16 columns). Flow metrics for example ranges are computed in #160, see this target

USGS-R / regional-hydrologic-forcings-ml

Compare cluster results using overlapping and non-overlapping event definitions #162