Share Email Print
cover

Proceedings Paper

Time series inference from clustering
Author(s): Edward R. Dougherty; Junior Barrera; Marcel Brun; Seungchan Kim; Roberto M. Cesar; Yidong Chen; Michael L. Bittner; Jeffrey M. Trent
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a toolbox for analyzing inferences drawn from clustering. Often the implication is that points in different clusters come from different underlying classes, whereas those in the same cluster come from the same class. These classes represent different random vectors. Each random vector is modeled as its mean plus independent noise, sample points are generated, the points are clustered, and the clustering error is the number of points clustered incorrectly according to the generating random vectors. Clustering algorithms are evaluated based on class variance and performance improvement with respect to increasing numbers of experimental replications. The study is presented on a website, which includes error tables and graphs, confusion matrices, principle-component plots, and validation measures. There, the toolbox is applied to gene- expression clustering based on cDNA microarrays using real data.

Paper Details

Date Published: 4 June 2001
PDF: 6 pages
Proc. SPIE 4266, Microarrays: Optical Technologies and Informatics, (4 June 2001); doi: 10.1117/12.427991
Show Author Affiliations
Edward R. Dougherty, Texas A&M Univ. (United States)
Junior Barrera, Univ. de Sao Paulo (Brazil)
Marcel Brun, Univ. de Sao Paulo (Brazil)
Seungchan Kim, Texas A&M Univ. (United States)
Roberto M. Cesar, Univ. de Sao Paulo (Brazil)
Yidong Chen, National Human Genome Research Institute/National Institutes of Health (United States)
Michael L. Bittner, National Human Genome Research Institute/National Institutes of Health (United States)
Jeffrey M. Trent, National Human Genome Research Institute/National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 4266:
Microarrays: Optical Technologies and Informatics
Michael L. Bittner; Yidong Chen; Andreas N. Dorsel; Edward R. Dougherty, Editor(s)

© SPIE. Terms of Use
Back to Top