Processor and method of weighted feature importance estimation
A method includes determining a feature importance ranking for each pair of clusters of a plurality of clusters to generate a first plurality of feature importance rankings. The method further includes determining a feature importance ranking between a particular data element and each cluster to generate a second plurality of feature importance rankings. A distance value associated with each pair of clusters of the plurality of clusters is determined to generate a plurality of distance values, and a probability value associated with each data element is determined to generate a plurality of probability values. The method further includes weighting the first plurality of feature importance rankings based on the plurality of distance values to determine a first plurality of weighted feature importance rankings and weighting the second plurality of feature importance rankings based on the plurality of probability values to determine a second plurality of weighted feature importance rankings.
- Research Organization:
- SparkCognition, Inc., Austin, TX (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FE0031563
- Assignee:
- SparkCognition, Inc. (Austin, TX)
- Patent Number(s):
- 10,706,323
- Application Number:
- 16/559,998
- OSTI ID:
- 1735011
- Country of Publication:
- United States
- Language:
- English
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