Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Vathy-Fogarassy, Ágnes; Abonyi, János

ISBN 10: 1447151577 / ISBN 13: 9781447151579

Published by Springer, 2013

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Bibliographic Details

Title: Graph-Based Clustering and Data ...

Publisher: Springer

Publication Date: 2013

Binding: paperback

Condition: Good

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Synopsis:

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 distances) provides a compact representation of the entire complex data set. This text describes clustering and visualization methods...

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