Mmsr, LLC

Jason Sweezey

Michael Jon Mauseth

Steve Roe

When applied to geographical locale datasets, cluster characterization and comparison techniques meaningfully transform representations of data to facilitate sophisticated locale-specific comparisons and provide location-specific outcome predictions. Outcome predictions may, for example, be based on distributions of locale attributes associated with of a large number of geographic locales and/or by computing statistical probabilities of particular outcomes based on outcome data associated with each of the geographic locales.

Geographic locale mapping system for outcome prediction

The disclosed technology facilitates objective comparisons between different geographical locales based on statistical comparisons of associated distributions of locale attributes. According to one implementation, a method disclosed herein includes defining a benchmark cluster having a first distribution of locale attributes; identifying a plurality of locale clusters that each correspond to one of a number of locales within a search zone associated with a different distribution of the locale attributes; assessing satisfaction of a similarity condition by comparing the benchmark cluster and to one or more of the identified locale clusters; and outputting one or more of the locales corresponding to the identified locale clusters satisfying the similarity condition.

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Centennial, CO, United States of America

Jason Sweezey