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 :
