- Paperback: 96 pages
- Publisher: Sage Publications, Inc.; 1 edition (1978)
- Language: English
- ISBN-10: 0803909403
- ISBN-13: 978-0803909403
- Product Dimensions: 21.5 x 14.1 x 0.6 cm
- Shipping Weight: 141 g
- Average Customer Review: 5.0 out of 5 stars See all reviews (3 customer reviews)
- Amazon Bestsellers Rank: #667,439 in Books (See Top 100 in Books)
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Product Details |
Product Description
Book Description
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.
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
Inside This Book
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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
Front Cover | Copyright | Table of Contents | Excerpt | Back Cover
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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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Back Cover
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Customer Reviews
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Most helpful customer reviews
5.0 out of 5 stars
Excelent book,
By
This review is from: Multidimensional Scaling (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.
5.0 out of 5 stars
An MDS monograph written for applied researchers,
By VONG TZE NGAI (Macau SAR, China (louis@ift.edu.mo)) - See all my reviews
This review is from: Multidimensional Scaling (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.
5.0 out of 5 stars
Excellent layman's introduction to Multi-Dimensional Scaling,
By Scott Lake (scorae@juno.com) (Waterford, Michigan, USA) - See all my reviews
This review is from: Multidimensional Scaling (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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