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Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data

Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_67471958

Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data

About this item

Full title

Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data

Publisher

350 Main Street , Malden , MA 02148 , U.S.A , and P.O. Box 1354, 9600 Garsington Road , Oxford OX4 2DQ , U.K: Blackwell Publishing

Journal title

Biometrics, 2005-03, Vol.61 (1), p.10-16

Language

English

Formats

Publication information

Publisher

350 Main Street , Malden , MA 02148 , U.S.A , and P.O. Box 1354, 9600 Garsington Road , Oxford OX4 2DQ , U.K: Blackwell Publishing

More information

Scope and Contents

Contents

In this article, we propose a method for clustering that produces tight and stable clusters without forcing all points into clusters. The methodology is general but was initially motivated from cluster analysis of microarray experiments. Most current algorithms aim to assign all genes into clusters. For many biological studies, however, we are main...

Alternative Titles

Full title

Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_67471958

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_67471958

Other Identifiers

ISSN

0006-341X

E-ISSN

1541-0420

DOI

10.1111/j.0006-341X.2005.031032.x

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