Graph-Based Clustering and Data Visualization Algorithms

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A gr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vathy-Fogarassy, Ágnes (Autor), Abonyi, János (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Computer Science,
Temas:
Data mining.
Information visualization.
Data Mining and Knowledge Discovery.
Data and Information Visualization.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Vector Quantisation and Topology-Based Graph Representation
  • Graph-Based Clustering Algorithms
  • Graph-Based Visualisation of High-Dimensional Data.

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