Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320703 | Artificial Intelligence in Medicine | 2005 | 12 Pages |
Abstract
Features identified independently by the two methods and by their consensus, determine class-discriminatory groups or individual features, whose predictive power compares favorably with that of a state-of-the-art classifier. Furthermore, the identified feature signatures form stable groupings at definite spectral positions, hence are readily interpretable. This is a useful and important practical result for generating hypothesis for the domain expert.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Erinija Pranckeviciene, Ray Somorjai, Richard Baumgartner, Moon-Gu Jeon,