{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T02:46:45Z","timestamp":1648781205116},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:p> A robust nearest neighbor classifier with only a small number of prototypes can be designed if the prototypes contain distinctive features that have a high classification power. We present in this paper an interset and intraset distance based method for reducing the number of prototypes and a neural network based technique for optimizing the prototypes of a nearest neighbor classifier. It is shown that the prototypes can be modified with a learning algorithm in such a way that useful features are created or enhanced to improve the matching capability of the classifier. <\/jats:p>","DOI":"10.1142\/s0129065792000279","type":"journal-article","created":{"date-parts":[[2004,11,24]],"date-time":"2004-11-24T03:29:42Z","timestamp":1101266982000},"page":"361-369","source":"Crossref","is-referenced-by-count":8,"title":["BUILDING A ROBUST NEAREST NEIGHBOR CLASSIFIER CONTAINING ONLY A SMALL NUMBER OF PROTOTYPES"],"prefix":"10.1142","volume":"03","author":[{"given":"HONG","family":"YAN","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Sydney, NSW 2006, Australia"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065792000279","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:20:54Z","timestamp":1565194854000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065792000279"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":0,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1142\/S0129065792000279"],"URL":"https:\/\/doi.org\/10.1142\/s0129065792000279","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}