@inproceedings{aed5632a3036481e812c319d49c495f8,
title = "Outlier detection using ball descriptions with adjustable metric",
abstract = "Sometimesnoveloroutlierdatahastobedetected.Theoutliersmayindicatesomeinterestingrareevent,ortheyshouldbedisregardedbecausetheycannotbereliablyprocessedfurther.Intheidealcasethattheobjectsarerepresentedbyverygoodfeatures,thegenuinedataformsacompactclusterandagoodoutliermeasureisthedistancetotheclustercenter.Thispaperproposesthreenewformulationsto¿ndagoodclustercentertogetherwithanoptimizedp-distancemeasure.Experimentsshowthatforsomerealworlddatasetsverygoodclassi¿cationresultsareobtainedandthat,morespeci¿cally,the1-distanceisparticularlysuitedfordatasetscontainingdiscretefeaturevalues.",
keywords = "Wiskunde en Informatica, Techniek, technische Wiskunde en Informatica, conference contrib. refereed, CWTS 0.75 <= JFIS < 2.00",
author = "DMJ Tax and P Juszczak and EM Pekalska and RPW Duin",
year = "2006",
language = "Undefined/Unknown",
isbn = "3-540-37236-9",
publisher = "Springer",
pages = "587--595",
editor = "DY Yeung and JT Kwok and A Fred and F Roli and {de Ridder}, D",
booktitle = "Structural, syntactic and statistical pattern recognition",
note = "null ; Conference date: 17-08-2006 Through 19-08-2006",
}