DYNAMIC FEATURE SELECTION WITH MAX-RELEVANCY AND MINIMUM REDUNDANCY CRITERIA

摘要

Various embodiments select features from a feature space. In one embodiment a set of features and a class value are received. A redundancy score is obtained for a feature that was previously selected from the set of features. A redundancy score is determined, for each of a plurality of unselected features in the set of features, based on the redundancy score that has been obtained, and a redundancy between the unselected feature and the feature that was previously selected. A relevance to the class value is determined for each of the unselected features. A feature from the plurality of unselected features with a highest relevance to the class value and a lowest redundancy score is selected.

主权项

1. An information processing system for selecting features from a feature space, the information processing comprising:
a memory; a processor communicatively coupled to the memory; and a feature selection module communicatively coupled to the memory and the processor, wherein the feature selection module is configured to perform a method comprising:
receiving, by a processor, a set of features and a class value;obtaining a redundancy score for a feature that was previously selected from the set of features;determining, for each of a plurality of unselected features in the set of features, a redundancy score based on the redundancy score that has been obtained, and a redundancy between the unselected feature and the feature that was previously selected;determining, for each of the unselected features, a relevance to the class value; andselecting a feature from the plurality of unselected features with a highest relevance to the class value and a lowest redundancy score.