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Selective Sampling for Nearest Neighbor Classifiers

โœ Scribed by Michael Lindenbaum; Shaul Markovitch; Dmitry Rusakov


Book ID
111597699
Publisher
Springer
Year
2004
Tongue
English
Weight
295 KB
Volume
54
Category
Article
ISSN
0885-6125

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Fast implementations of nearest neighbor
โœ Patrick J. Grother; Gerald T. Candela; James L. Blue ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 641 KB

Standard implementations of non-parametric classifiers have large computational requirements. Parzen classifiers use the distances of an unknown vector to all N prototype samples, and consequently exhibit O(N) behavior in both memory and time. We describe four techniques for expediting the nearest n