Feature selection based at least in part on temporally static feature selection criteria and temporally dynamic feature selection criteria

Abstract

There is a need to accurate and efficient feature selection. In one example, embodiments comprise, determining refined statically eligible feature category combinations and refined dynamically eligible feature category combinations. One or more refined eligible feature category combinations and a plurality of eligible feature combinations may be determined based at least in part on the refined statically eligible feature category combinations and the refined dynamically eligible feature category combinations. For each eligible feature combination, an aggregate distance score is determined. A refined feature combination is then determined based at least in part on each aggregate distance score. One or more action are performed based at least in part on the refined feature combination.