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Multidimensional Scaling [Paperback]

Joseph B. Kruskal , Myron Wish
5.0 out of 5 stars  See all reviews (3 customer reviews)
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Book Description

Jan. 1 1978 Quantitative Applications in the Social Sciences (Book 11)

Outlines a set of techniques that enable a researcher to discuss the "hidden structure" of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.


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About the Author

Interests, Activities, Kudos multidimensional scaling minimum spanning trees clustering statistical linguistics Past President of the Psychometric Society Past President of the Classification Society of North America Fellow of ASA Fellow of AAAS

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First Sentence
Suppose you are given a map showing the locations of several cities in the United States, and are asked to construct a table of distances between these cities (see Figures 1A and 1B). Read the first page
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Most helpful customer reviews
5.0 out of 5 stars An MDS monograph written for applied researchers May 28 2002
Format:Paperback
It is quite hard to find easy-reading reference for MDS. Some are written in Mathematics rather than in English. Others are over comprehensive as an introductory text for laymen. In this regard, I found Kruskal and Wish's "Multidimensional Scaling" to be the most 'user friendly'( only in a relative sense).
In short, this is certainly a monograph with just the right amount of substances for any applied researcher interested in MDS to get started with their work. Fundamental knowledge of statistics is a prerequisite, of course.
Was this review helpful to you?
Format:Paperback
This book is an excellent layman's introduction to the topic of Multi-Dimensional Scaling (MDS). There is just the right amount of detail to quickly get started in practical use of MDS. Some of the data and projects in this text are used as examples in StatSoft's Statistica software for PC's and Mac's; establishing a much needed connection between a reference text and software that incorporates the mathematics in the topic.
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5.0 out of 5 stars Excelent book Feb. 6 2012
By Sera
Format:Paperback
It is an authoritative and well writen book. It is crear, didactically organized and covers all issues that are of interest for beginners. I use it in my graduate course on MDS, and students love it. The authors have been pioneers in the field and the first author is the creator of one of the most used software pieces in the field.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 5.0 out of 5 stars  2 reviews
15 of 16 people found the following review helpful
5.0 out of 5 stars Excellent layman's introduction to Multi-Dimensional Scaling March 27 1998
By Scott Lake (scorae@juno.com) - Published on Amazon.com
Format:Paperback
This book is an excellent layman's introduction to the topic of Multi-Dimensional Scaling (MDS). There is just the right amount of detail to quickly get started in practical use of MDS. Some of the data and projects in this text are used as examples in StatSoft's Statistica software for PC's and Mac's; establishing a much needed connection between a reference text and software that incorporates the mathematics in the topic.
7 of 7 people found the following review helpful
5.0 out of 5 stars An MDS monograph written for applied researchers May 28 2002
By VONG TZE NGAI - Published on Amazon.com
Format:Paperback
It is quite hard to find easy-reading reference for MDS. Some are written in Mathematics rather than in English. Others are over comprehensive as an introductory text for laymen. In this regard, I found Kruskal and Wish's "Multidimensional Scaling" to be the most 'user friendly'( only in a relative sense).
In short, this is certainly a monograph with just the right amount of substances for any applied researcher interested in MDS to get started with their work. Fundamental knowledge of statistics is a prerequisite, of course.
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