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Published in:
Mixture Models for Classification Read chapter Read first chapter

2007 | OriginalPaper | Chapter

VOS: A New Method for Visualizing Similarities Between Objects

Authors : Nees Jan van Eck, Ludo Waltman

Published in: Advances in Data Analysis

Publisher: Springer Berlin Heidelberg

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We present a new method for visualizing similarities between objects. The method is called VOS, which is an abbreviation for

visualization of similarities

. The aim of VOS is to provide a low-dimensional visualization in which objects are located in such a way that the distance between any pair of objects reflects their similarity as accurately as possible. Because the standard approach to visualizing similarities between objects is to apply multidimensional scaling, we pay special attention to the relationship between VOS and multidimensional scaling.

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previous chapter Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities
next chapter Multidimensional Scaling of Asymmetric Proximities with a Dominance Point
Metadata
Title
VOS: A New Method for Visualizing Similarities Between Objects
Authors
Nees Jan van Eck
Ludo Waltman
Copyright Year
2007
Publisher
Springer Berlin Heidelberg
Book
Advances in Data Analysis

Print ISBN: 978-3-540-70980-0

Electronic ISBN: 978-3-540-70981-7

Copyright Year: 2007

DOI
https://doi.org/10.1007/978-3-540-70981-7_34

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