If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Clustering objects on subsets of attributes

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Summary. 

A new procedure is proposed for clustering attribute value data. When used in conjunction with conventional distance-based clustering algorithms this procedure encourages those algorithms to detect automatically subgroups of objects that preferentially cluster on subsets of the attribute variables rather than on all of them simultaneously. The relevant attribute subsets for each individual cluster can be different and partially (or completely) overlap with those of other clusters. Enhancements for increasing sensitivity for detecting especially low cardinality groups clustering on a small subset of variables are discussed. Applications in different domains, including gene expression arrays, are presented.

Keywords: Bioinformatics; Clustering on variable subsets; Distance-based clustering; Feature selection; Gene expression microarray data; Genomics; Inverse exponential distance; Mixtures of numeric and categorical variables; Targeted clustering

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-9868.2004.02059.x

Affiliations: 1: Stanford University, USA 2: Leiden University, the Netherlands

Publication date: November 1, 2004

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more