Author: Ágnes Vathy-Fogarassy
Edition:
Binding: Paperback
ISBN: 1447151593
Edition:
Binding: Paperback
ISBN: 1447151593
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. Get Graph-Based Clustering and Data Visualization Algorithms computer books for free.
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 that are able to utilize information hidden in these graphs, based on the synergistic combination of clustering, graph-theory, neural networks, data visualization, dimensionality reduction, fuzzy methods, and topology learning. Check Graph-Based Clustering and Data Visualization Algorithms our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.
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