Object's details: Kohonen self-organizing maps for symbolic objects

Provider:Repozytorium Uniwersytetu Łódzkiego

Description

Title:
Kohonen self-organizing maps for symbolic objects
Creator:
Dudek, Andrzej
Contributor:
Chair of Econometrics and Informatics, University of Economics, Wrocław
Description:
Article present algorithm of creating Kohonen self-organizing maps for symbolic objects along with some examples on datasets taken from symbolic data repository (http://www.ceremade.dauphine.fr/~touati/sodas-pagegarde.htm).;
Visualizing data in the form of illustrative diagrams and searching, in these diagrams, for structures, clusters, trends, dependencies etc. is one of the main aims of multivariate statistical analysis. In the case of symbolic data (e.g. data in form of: single quantitative value, categorical values, intervals, multi-valued variables, multi-valued variables with weights), some well-known methods are provided by suitable 'symbolic' adaptations of classical methods such as principal component analysis or factor analysis. An alternative visualization of symbolic data is obtained by constructing a Kohonen map. Instead of displaying the individual items k = 1,..., n by n points or rectangles in a two dimensional space, the n items are first clustered into a number m of mini-clusters and then these mini-clusters are assigned to the vertices of a rectangular lattice of points in the plane such that 'similar' clusters are represented by neighbouring vertices in the lattice.;
Zadanie pt. Digitalizacja i udostępnienie w Cyfrowym Repozytorium Uniwersytetu Łódzkiego kolekcji czasopism naukowych wydawanych przez Uniwersytet Łódzki nr 885/P-DUN/2014 zostało dofinansowane ze środków MNiSW w ramach działalności upowszechniającej naukę.
Object availability:
free access
Rights:
© Copyright by Wydawnictwo Uniwersytetu Łódzkiego, Łódź 2008
Date:
2016.01.03;
2008
Type:
Article
Language:
English
Format:
application/pdf
Publisher:
Wydawnictwo Uniwersytetu Łódzkiego
Relation:
Acta Universitatis Lodziensis. Folia Oeconomica;216
Subject:
Classification;
visualization;
symbolic data;
neural networks
Identifier:
0208-6018;
http://hdl.handle.net/11089/16184
Data provider:
Repozytorium Uniwersytetu Łódzkiego

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