Correlation Clustering in Data Streams

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1432-0541

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Correlation Clustering in Data Streams ; day:13 ; month:3 ; year:2021 ; pages:1-38
Algorithmica ; (13.3.2021), 1-38

Creator: Ahn, Kook Jin
Cormode, Graham
Guha, Sudipto
McGregor, Andrew
Wirth, Anthony

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00453-021-00816-9

URN: urn:nbn:de:101:1-2021050221511445634734

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

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Ahn, Kook Jin
Cormode, Graham
Guha, Sudipto
McGregor, Andrew
Wirth, Anthony
SpringerLink (Online service)

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Correlation Clustering in Data Streams

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Other Objects (12)

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Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams

Data Streams in linked.swissbib.ch

Machine learning on data streams : improving the applicability and performance of stream clustering algorithms

Screening for data clustering in multicenter studies: the residual intraclass correlation

Efficient clustering of big data streams

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S-RASTER: contraction clustering for evolving data streams

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Correlation clustering

A clustering algorithm for multivariate data streams with correlated components

Hierarchical clustering for multiple nominal data streams with evolving behaviour

Advances in correlation clustering

Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams

Data Streams in linked.swissbib.ch

Machine learning on data streams : improving the applicability and performance of stream clustering algorithms

Screening for data clustering in multicenter studies: the residual intraclass correlation

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S-RASTER: contraction clustering for evolving data streams

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