DocumentCode
930637
Title
The weighted nearest neighbor rule for class dependent sample sizes (Corresp.)
Author
Brown, Thomas A. ; Koplowitz, Jack
Volume
25
Issue
5
fYear
1979
fDate
9/1/1979 12:00:00 AM
Firstpage
617
Lastpage
619
Abstract
The nearest neighbor rule is considered for data samples obtained by selecting
independent samples with the conditional distribution corresponding to class
. It is shown that a weighted distance rule can The nearest neighbor nde is considered for data samples obtained by selecting
independent samples with the conditional distribution corresponding to class
. It is shown that a weighted distance rule can improve the performance when the ratio of
to the total sample size differs substantially from the
probability of class
.
independent samples with the conditional distribution corresponding to class
. It is shown that a weighted distance rule can The nearest neighbor nde is considered for data samples obtained by selecting
independent samples with the conditional distribution corresponding to class
. It is shown that a weighted distance rule can improve the performance when the ratio of
to the total sample size differs substantially from the
probability of class
.Keywords
Pattern classification; Bridges; Helium; Information theory; Mathematics; Nearest neighbor searches; Neural networks; Notice of Violation; Pattern recognition; Probability density function; Reliability theory;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1979.1056092
Filename
1056092
Link To Document