Graph-Based Clustering and Data Visualization Algorithms

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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 graph of important edges (where edges characterize relations and weights represent similarities or dis...
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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 graph of important edges (where edges characterize relations and weights represent similarities or dis...
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  • Formats: pdf
  • ISBN: 9781447151586
  • Publication Date: 24 May 2013
  • Publisher: Springer London
  • Product language: English
  • Drm Setting: DRM