An incremental outlier factor based clustering algorithm

Yong Feng Zhou; Qing Bao Liu; Su Deng; Qiang Yang

An incremental outlier factor based clustering algorithm

Yong Feng Zhou^*, Qing Bao Liu, Su Deng, Qiang Yang

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

Although many clustering algorithms have been proposed, seldom is focused on incremental databases. This paper introduces an outlier factor based clustering algorithm, OFCA, which can discover clusters with outlier factor parameters determined easily. An incremental clustering algorithm, IOFCA, is also presented to apply to periodically incremental environment.

Original language	English
Title of host publication	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages	1358-1361
Number of pages	4
Publication status	Published - 2002
Externally published	Yes
Event	Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002

Publication series

Name	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Volume	3

Conference

Conference	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Beijing
Period	4/11/02 → 5/11/02

Keywords

Clustering
Clustering parameter
Incremental algorithm
Outlier factor

Cite this

@inproceedings{aff57940c7c14a0f84423182d13f89ae,

title = "An incremental outlier factor based clustering algorithm",

abstract = "Although many clustering algorithms have been proposed, seldom is focused on incremental databases. This paper introduces an outlier factor based clustering algorithm, OFCA, which can discover clusters with outlier factor parameters determined easily. An incremental clustering algorithm, IOFCA, is also presented to apply to periodically incremental environment.",

keywords = "Clustering, Clustering parameter, Incremental algorithm, Outlier factor",

author = "Zhou, \{Yong Feng\} and Liu, \{Qing Bao\} and Su Deng and Qiang Yang",

year = "2002",

language = "English",

isbn = "0780375084",

series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

pages = "1358--1361",

booktitle = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

note = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics ; Conference date: 04-11-2002 Through 05-11-2002",

}

Zhou, YF, Liu, QB, Deng, S & Yang, Q 2002, An incremental outlier factor based clustering algorithm. in Proceedings of 2002 International Conference on Machine Learning and Cybernetics. Proceedings of 2002 International Conference on Machine Learning and Cybernetics, vol. 3, pp. 1358-1361, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, China, 4/11/02.

An incremental outlier factor based clustering algorithm. / Zhou, Yong Feng; Liu, Qing Bao; Deng, Su et al.
Proceedings of 2002 International Conference on Machine Learning and Cybernetics. 2002. p. 1358-1361 (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; Vol. 3).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - An incremental outlier factor based clustering algorithm

AU - Zhou, Yong Feng

AU - Liu, Qing Bao

AU - Deng, Su

AU - Yang, Qiang

PY - 2002

Y1 - 2002

N2 - Although many clustering algorithms have been proposed, seldom is focused on incremental databases. This paper introduces an outlier factor based clustering algorithm, OFCA, which can discover clusters with outlier factor parameters determined easily. An incremental clustering algorithm, IOFCA, is also presented to apply to periodically incremental environment.

AB - Although many clustering algorithms have been proposed, seldom is focused on incremental databases. This paper introduces an outlier factor based clustering algorithm, OFCA, which can discover clusters with outlier factor parameters determined easily. An incremental clustering algorithm, IOFCA, is also presented to apply to periodically incremental environment.

KW - Clustering

KW - Clustering parameter

KW - Incremental algorithm

KW - Outlier factor

UR - https://www.scopus.com/pages/publications/0036930492

M3 - Conference Paper published in a book

AN - SCOPUS:0036930492

SN - 0780375084

T3 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

SP - 1358

EP - 1361

BT - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

T2 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Y2 - 4 November 2002 through 5 November 2002

ER -

An incremental outlier factor based clustering algorithm

Abstract

Publication series

Conference

Keywords

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Cite this