Authors:
X. Polanco Centre National de la Recherche Scientifique (CNRS) Programme de Recherche Infométrie, Institut de l'Information Scientifique et Technique (INIST) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France)

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Claire François Centre National de la Recherche Scientifique (CNRS) Programme de Recherche Infométrie, Institut de l'Information Scientifique et Technique (INIST) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France)

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J. Keim Centre National de la Recherche Scientifique (CNRS) Programme de Recherche Infométrie, Institut de l'Information Scientifique et Technique (INIST) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France) 2 allée du Parc de Brabois 54514 Vandoeuvre les Nancy cedex (France)

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Abstract  

This paper describes the implementation of multivariate data analysis: NEURODOC applies the axial k-means method for automatic, non-hierarchical cluster analysis and a Principal Component Analysis (PCA) for representing the clusters on a map. We next introduce Artificial Neural Networks (ANNs) to extend NEURODOC into a neural platform for the cluster analysis and cartography of bibliographic data. The ANNs tested are: the Adaptive Resonance Theory (ART 1), a Multilayer Perceptron (MLP), and an associative network with unsupervised learning (KOHONEN). This platform is intended for quantitative analysis of information.

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)