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Weighted clustering ensembles

Weighted clustering ensembles

Weighted clustering ensembles

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_304315184

Weighted clustering ensembles

About this item

Full title

Weighted clustering ensembles

Author / Creator

Publisher

ProQuest Dissertations & Theses

Date

2008

Language

English

Publication information

Publisher

ProQuest Dissertations & Theses

Subjects

Subjects and topics

More information

Scope and Contents

Contents

Clustering is a popular approach to exploratory data analysis and mining. However, clustering faces difficult challenges due to its ill-posed nature. First, it is well known that off-the-shelf clustering methods may discover different patterns in a given set of data, because each clustering algorithm has its own bias resulting from the optimization...

Alternative Titles

Full title

Weighted clustering ensembles

Authors, Artists and Contributors

Author / Creator

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_304315184

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_304315184

Other Identifiers

ISBN

0549748830,9780549748830