Nearest Neighbor Rules for Statistical Classification Based on Ranks.
Abstract
Some rank-based rules for classifying an observation into one of two populations, from which training samples are available, are suggested. The limiting values of their probabilities of misclassification are derived as the sizes of the training samples tend to infinity. The nearest neighbor idea is used in terms of ranks and two-sided neighbors to define the rank nearest neighbor rule. A multi-stage version is also suggested (in case of ties) and studied. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 05, 1977
- Accession Number
- ADA049306
Entities
People
- Hsien Elsa Lin
- Somesh Das Gupta
Organizations
- University of Minnesota