Weighted clustering ensembles
Weighted clustering ensembles
About this item
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Author / Creator
Publisher
ProQuest Dissertations & Theses
Date
2008
Language
English
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Publisher
ProQuest Dissertations & Theses
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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...
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Weighted clustering ensembles
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TN_cdi_proquest_journals_304315184
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_304315184
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ISBN
0549748830,9780549748830
How to access this item
https://www.proquest.com/docview/304315184?pq-origsite=primo&accountid=13902