๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Nearest-neighbor classification for facies delineation

โœ Scribed by Tartakovsky, Daniel M.; Wohlberg, Brendt; Guadagnini, Alberto


Book ID
119674723
Publisher
American Geophysical Union
Year
2007
Tongue
English
Weight
204 KB
Volume
43
Category
Article
ISSN
0043-1397

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


-nearest neighbor classification
โœ Goldstein, M. ๐Ÿ“‚ Article ๐Ÿ“… 1972 ๐Ÿ› IEEE ๐ŸŒ English โš– 532 KB
Prototype optimization for nearest-neigh
โœ Y.S. Huang; C.C. Chiang; J.W. Shieh; E. Grimson ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 238 KB

A novel neuralnet-based method of constructing optimized prototypes for nearest-neighbor classiรฟers is proposed. Based on an e ective classiรฟcation oriented error function containing class classiรฟcation and class separation components, the corresponding prototype and feature weight update rules are

Improved k-nearest neighbor classificati
โœ Yingquan Wu; Krassimir Ianakiev; Venu Govindaraju ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 113 KB

k-nearest neighbor (k-NN) classiรฟcation is a well-known decision rule that is widely used in pattern classiรฟcation. However, the traditional implementation of this method is computationally expensive. In this paper we develop two e ective techniques, namely, template condensing and preprocessing, to