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...
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: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Parallel Coordinates Visual Multidimensional Geometry and Its Applications /
por: Inselberg, Alfred
Publicado: (2009) -
Interactive and Dynamic Graphics for Data Analysis With R and GGobi /
por: Cook, Dianne, et al.
Publicado: (2007) -
Knowledge Visualization Currents From Text to Art to Culture /
Publicado: (2013) -
Graphics of Large Datasets Visualizing a Million /
por: Unwin, Antony, et al.
Publicado: (2006) -
Multivariate Statistics Exercises and Solutions /
por: Härdle, Wolfgang Karl, et al.
Publicado: (2015)