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Modern multidimensional scaling

TL;DR: Modern multidimensional scalin this paper, Modern multi-dimensional scalin, کتابخانه دیجیتال جندی شاپور اهواز
Abstract: Modern multidimensional scalin , Modern multidimensional scalin , کتابخانه دیجیتال جندی شاپور اهواز
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Journal ArticleDOI
TL;DR: VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
Abstract: We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.

7,719 citations

Journal ArticleDOI
TL;DR: The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
Abstract: The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples, and performance evaluation. In spite of almost 50 years of research and development in this field, the general problem of recognizing complex patterns with arbitrary orientation, location, and scale remains unsolved. New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.

6,527 citations


Cites background from "Modern multidimensional scaling"

  • ...However, the number of possible subsets grows combinatorially, making this exhaustive search impractical for even moderate values of m and d. Cover and Van Campenhout [35] showed that no nonexhaustive sequential feature selection procedure can be guaranteed to produce the optimal subset....

    [...]

Book ChapterDOI
01 Jan 2014
TL;DR: This chapter provides an introduction to the topic of visualizing bibliometric networks and focuses specifically on two software tools: VOSviewer and CitNetExplorer.
Abstract: This chapter provides an introduction to the topic of visualizing bibliometric networks. First, the most commonly studied types of bibliometric networks (i.e., citation, co-citation, bibliographic coupling, keyword co-occurrence, and coauthorship networks) are discussed, and three popular visualization approaches (i.e., distance-based, graph-based, and timeline-based approaches) are distinguished. Next, an overview is given of a number of software tools that can be used for visualizing bibliometric networks. In the second part of the chapter, the focus is specifically on two software tools: VOSviewer and CitNetExplorer. The techniques used by these tools to construct, analyze, and visualize bibliometric networks are discussed. In addition, tutorials are offered that demonstrate in a step-by-step manner how both tools can be used. Finally, the chapter concludes with a discussion of the limitations and the proper use of bibliometric network visualizations and with a summary of some ongoing and future developments.

1,355 citations

Journal ArticleDOI
TL;DR: L'A.
Abstract: L'A. passe en revue les techniques de visualisation utilisees pour representer de facon cartographique la structure de domaine des disciplines scientifiques, et pour soutenir la recherche d'information et la classification. Un bref historique montre que la visualisation des domaines de connaissances s'enracine dans des disciplines telles que la scientometrie, la bibliometrie et l'analyse de citations, ainsi que la visualisation scientifique. L'A. analyse les principales etapes du processus de visualisation des domaines de connaissances : unites d'analyse, mesures, similarites entre unites. Differentes techniques couramment utilisees pour l'analyse et la visualisation des connaissances sont passees en revue : techniques de reduction de la dimensionnalite, analyse par clusters, configuration spatiale, visualisation et conception d'interaction. Differentes approches sont appliquees pour engendrer et comparer diverses representations cartographiques de la recherche sur la visualisation des domaines de connaissances. Ces cartes mettent en valeur les relations entre l'analyse de citations, la bibliometrie, la semantique et la visualisation de l'information. Augmenter l'accessibilite de la visualisation des domaines aupres des non-experts, appliquer la visualisation des domaines de connaissances pour mieux repondre a des questions pragmatiques, favoriser la collaboration et la diffusion des resultats entre chercheurs, developper des algorithmes plus robustes, comptent parmi les directions de recherche les plus prometteuses.

1,304 citations


Cites background from "Modern multidimensional scaling"

  • ...There are numerous texts available for further reading (Borg & Groenen, 1996; Joseph Kruskal, B., 1964; Joseph B. Kruskal, 1964; Kruskal & Wish, 1984)....

    [...]

Book
20 Nov 2006
TL;DR: In this article, the authors compare patterns of party competition and measure policy dimensions and political preferences using expert surveys as a measurement tool, including bias and error correction in expert survey results and the dimensionality of policy spaces.
Abstract: Introduction Part I. Policy and Party Competition 1. Policy dimensions and political preferences 2. "Policy spaces" and models of party competition Part II. Measuring Policy Positions 3. The expert surveys as a measurement tool 4. Measurement issues: bias and error correction in expert survey results 5. The Dimensionality of policy spaces 6. Comparing patterns of party competition Part III. Data Appendices References Index

1,252 citations