Outlier detection using ball descriptions with adjustable metric

DMJ Tax; P Juszczak; EM Pekalska; RPW Duin

Outlier detection using ball descriptions with adjustable metric

DMJ Tax, P Juszczak, EM Pekalska, RPW Duin

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

12 Citations (Scopus)

Abstract

Sometimesnoveloroutlierdatahastobedetected.Theoutliersmayindicatesomeinterestingrareevent,ortheyshouldbedisregardedbecausetheycannotbereliablyprocessedfurther.Intheidealcasethattheobjectsarerepresentedbyverygoodfeatures,thegenuinedataformsacompactclusterandagoodoutliermeasureisthedistancetotheclustercenter.Thispaperproposesthreenewformulationsto¿ndagoodclustercentertogetherwithanoptimizedp-distancemeasure.Experimentsshowthatforsomerealworlddatasetsverygoodclassi¿cationresultsareobtainedandthat,morespeci¿cally,the1-distanceisparticularlysuitedfordatasetscontainingdiscretefeaturevalues.

Original language	Undefined/Unknown
Title of host publication	Structural, syntactic and statistical pattern recognition
Editors	DY Yeung, JT Kwok, A Fred, F Roli, D de Ridder
Place of Publication	Berlin-Heidelberg
Publisher	Springer
Pages	587-595
Number of pages	9
ISBN (Print)	3-540-37236-9
Publication status	Published - 2006
Event	Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China - Heidelberg Duration: 17 Aug 2006 → 19 Aug 2006

Publication series

Name
Publisher	Springer

Name	Lecture Notes in Computer Science
Volume	4109
ISSN (Print)	0302-9743

Conference

Conference	Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China
Period	17/08/06 → 19/08/06

Keywords

Wiskunde en Informatica
Techniek
technische Wiskunde en Informatica
conference contrib. refereed
CWTS 0.75 <= JFIS < 2.00

Cite this

@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 = "Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China ; Conference date: 17-08-2006 Through 19-08-2006",

}

Tax, DMJ, Juszczak, P, Pekalska, EM & Duin, RPW 2006, Outlier detection using ball descriptions with adjustable metric. in DY Yeung, JT Kwok, A Fred, F Roli & D de Ridder (eds), Structural, syntactic and statistical pattern recognition. Lecture Notes in Computer Science, vol. 4109, Springer, Berlin-Heidelberg, pp. 587-595, Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China, 17/08/06.

Outlier detection using ball descriptions with adjustable metric. / Tax, DMJ; Juszczak, P; Pekalska, EM et al.
Structural, syntactic and statistical pattern recognition. ed. / DY Yeung; JT Kwok; A Fred; F Roli; D de Ridder. Berlin-Heidelberg: Springer, 2006. p. 587-595 (Lecture Notes in Computer Science; Vol. 4109).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Outlier detection using ball descriptions with adjustable metric

AU - Tax, DMJ

AU - Juszczak, P

AU - Pekalska, EM

AU - Duin, RPW

PY - 2006

Y1 - 2006

N2 - Sometimesnoveloroutlierdatahastobedetected.Theoutliersmayindicatesomeinterestingrareevent,ortheyshouldbedisregardedbecausetheycannotbereliablyprocessedfurther.Intheidealcasethattheobjectsarerepresentedbyverygoodfeatures,thegenuinedataformsacompactclusterandagoodoutliermeasureisthedistancetotheclustercenter.Thispaperproposesthreenewformulationsto¿ndagoodclustercentertogetherwithanoptimizedp-distancemeasure.Experimentsshowthatforsomerealworlddatasetsverygoodclassi¿cationresultsareobtainedandthat,morespeci¿cally,the1-distanceisparticularlysuitedfordatasetscontainingdiscretefeaturevalues.

AB - Sometimesnoveloroutlierdatahastobedetected.Theoutliersmayindicatesomeinterestingrareevent,ortheyshouldbedisregardedbecausetheycannotbereliablyprocessedfurther.Intheidealcasethattheobjectsarerepresentedbyverygoodfeatures,thegenuinedataformsacompactclusterandagoodoutliermeasureisthedistancetotheclustercenter.Thispaperproposesthreenewformulationsto¿ndagoodclustercentertogetherwithanoptimizedp-distancemeasure.Experimentsshowthatforsomerealworlddatasetsverygoodclassi¿cationresultsareobtainedandthat,morespeci¿cally,the1-distanceisparticularlysuitedfordatasetscontainingdiscretefeaturevalues.

KW - Wiskunde en Informatica

KW - Techniek

KW - technische Wiskunde en Informatica

KW - conference contrib. refereed

KW - CWTS 0.75 <= JFIS < 2.00

UR - http://www.springerlink.com/content/57j52815n2k7m421/fulltext.pdf

M3 - Conference contribution

SN - 3-540-37236-9

SP - 587

EP - 595

BT - Structural, syntactic and statistical pattern recognition

A2 - Yeung, DY

A2 - Kwok, JT

A2 - Fred, A

A2 - Roli, F

A2 - de Ridder, D

PB - Springer

CY - Berlin-Heidelberg

T2 - Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China

Y2 - 17 August 2006 through 19 August 2006

ER -

Outlier detection using ball descriptions with adjustable metric

Abstract

Publication series

Conference

Keywords

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Cite this