Title
Asymptotic slowing down of the nearest-neighbor classifier
Abstract
If patterns are drawn from an n-dimensional feature space according to a probability distribution that obeys a weak smoothness criterion, we show that the probability that a random input pattern is misclassified by a nearest-neighbor classifier using M random reference patterns asymptoti(cid:173) cally satisfies
Year
Venue
Keywords
1990
NIPS
nearest-neighbor classifier
Field
DocType
ISBN
Feature vector,Exponent,Curse of dimensionality,Probability distribution,Artificial intelligence,Classifier (linguistics),Margin classifier,Bayes error rate,Machine learning,Bayes classifier,Mathematics
Conference
1-55860-184-8
Citations 
PageRank 
References 
2
0.75
3
Authors
3
Name
Order
Citations
PageRank
Robert R. Snapp15652.96
Demetri Psaltis2431209.24
Santosh S. Venkatesh338171.80