Distribution-free discriminant analysis | Zendy

Tom Burr | Zendy; Justin Doak | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Distribution-free discriminant analysis

Author(s) -

Tom Burr,

Justin Doak

Publication year - 1997

Publication title -

intell. data anal.

Language(s) - English

Resource type - Reports

DOI - 10.2172/481935

Subject(s) - linear discriminant analysis , computer science , range (aeronautics) , discriminant , pattern recognition (psychology) , parametric statistics , artificial intelligence , optimal discriminant analysis , data mining , machine learning , statistics , mathematics , engineering , aerospace engineering

This report describes our experience in implementing a non-parametric (distribution-free) discriminant analysis module for use in a wide range of pattern recognition problems. Issues discussed include performance results on both real and simulated data sets, comparisons to other methods, and the computational environment. In some cases, this module performs better than other existing methods. Nearly all cases can benefit from the application of multiple methods

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research