Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study

The nearest neighbor classifier is one of the most used and well-known techniques for performing recognition tasks. It has also demonstrated itself to be one of the most useful algorithms in data mining in spite of its simplicity. However, the nearest neighbor classifier suffers from several drawbac...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 34; H. 3; S. 417 - 435
Hauptverfasser:	Garcia, Salvador, Derrac, Joaquin, Cano, Jose Ramon, Herrera, Francisco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.03.2012 IEEE Computer Society
Schlagworte:	Accuracy Applied sciences classification Classification algorithms Computer science; control theory; systems condensation Data processing. List processing. Character string processing edition Exact sciences and technology Memory organisation. Data processing nearest neighbor Noise Noise measurement Prototype selection Prototypes Software Taxonomy Training Performance evaluation Capability index Nearest neighbour Data analysis Taxonomy Empirical method edition Data mining classification Condensation Supervised classification Recommendation Prototype selection Statistical test nearest neighbor Efficiency Categorization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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