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Descripción
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| Currently, there exist many research areas that produce large multivariable datasets that are difficult to visualize in order to extract useful information. Kohonen self-organizing maps have been used successfully in the visualization and analysis of multidimensional data. In this work, a projection technique that compresses multidimensional datasets into two dimensional space using growing self-organizing maps is described. With this embedding scheme, traditional Kohonen visualization methods have been implemented using growing cell structures networks. New graphical map displays have been compared with Kohonen graphs using two groups of simulated data and one group of real multidimensional data selected from a satellite scene | |
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Internacional
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Si |
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JCR del ISI
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No |
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Título de la revista
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Lecture Notes in Computer Science |
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ISSN
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0302-9743 |
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Factor de impacto JCR
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0 |
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Información de impacto
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Volumen
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4507 |
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DOI
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Número de revista
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0 |
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Desde la página
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580 |
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Hasta la página
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587 |
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Mes
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SIN MES |
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Ranking
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