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Visual matrix explorer for collaborative seriation

Visual matrix explorer for collaborative seriation In this article, we present a web‐based open source tool to support cross‐disciplinary collaborative seriation with the following goals: to compare different matrix permutations, to discover patterns from the data, annotate it, and accumulate knowledge. Seriation is an unsupervised data mining technique that reorders objects into a sequence along a one‐dimensional continuum to make sense of the whole series. Clustering assigns objects to groups, whereas seriation assigns objects to a position within a sequence. Seriation has been applied to a variety of disciplines including archaeology and anthropology; cartography, graphics, and information visualization; sociology and sociometry; psychology and psychometrics; ecology; biology and bioinformatics; cellular manufacturing; and operations research. Interestingly, across those different disciplines, there are several commonly emerging similar structural patterns. Visual Matrix Explorer allows users to explore and link those patterns, share an online workplace and instantly transmit changes in the system to other users. WIREs Comp Stat 2012, 4:85–97. doi: 10.1002/wics.193 For further resources related to this article, please visit the WIREs website. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wiley Interdisciplinary Reviews: Computational Statistics Wiley

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References (37)

Publisher
Wiley
Copyright
Copyright © 2011 John Wiley & Sons, Inc.
ISSN
1939-5108
eISSN
1939-0068
DOI
10.1002/wics.193
Publisher site
See Article on Publisher Site

Abstract

In this article, we present a web‐based open source tool to support cross‐disciplinary collaborative seriation with the following goals: to compare different matrix permutations, to discover patterns from the data, annotate it, and accumulate knowledge. Seriation is an unsupervised data mining technique that reorders objects into a sequence along a one‐dimensional continuum to make sense of the whole series. Clustering assigns objects to groups, whereas seriation assigns objects to a position within a sequence. Seriation has been applied to a variety of disciplines including archaeology and anthropology; cartography, graphics, and information visualization; sociology and sociometry; psychology and psychometrics; ecology; biology and bioinformatics; cellular manufacturing; and operations research. Interestingly, across those different disciplines, there are several commonly emerging similar structural patterns. Visual Matrix Explorer allows users to explore and link those patterns, share an online workplace and instantly transmit changes in the system to other users. WIREs Comp Stat 2012, 4:85–97. doi: 10.1002/wics.193 For further resources related to this article, please visit the WIREs website.

Journal

Wiley Interdisciplinary Reviews: Computational StatisticsWiley

Published: Jan 1, 2012

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