{"title":"Cluster-space classification: a fast k-nearest neighbour classification for remote sensing hyperspectral data","authors":"X. Jia, J. Richards","doi":"10.1109/WARSD.2003.1295222","DOIUrl":null,"url":null,"abstract":"In this paper a fast k-nearest neighbour (k-NN) algorithm is presented which combines k-NN with a cluster-space data representation. Implementation of the algorithm is easier and classification time can be significantly reduced. Results from tests carried out with a Hyperion data set demonstrate that the simplification has little effect on classification performance and yet efficiency is greatly improved.","PeriodicalId":395735,"journal":{"name":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARSD.2003.1295222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper a fast k-nearest neighbour (k-NN) algorithm is presented which combines k-NN with a cluster-space data representation. Implementation of the algorithm is easier and classification time can be significantly reduced. Results from tests carried out with a Hyperion data set demonstrate that the simplification has little effect on classification performance and yet efficiency is greatly improved.
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