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

Ágnes Vathy-Fogarassy, János Abonyi




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 | #2216805 in Books |  2013-05-28 |  2013-05-28 | Original language:English | PDF # 1 |  9.25 x.28 x6.10l,.41 | File type: PDF | 110 pages

||0 of 0 people found the following review helpful.| Five Stars|By Mark Coy|great book.|From the Back Cover|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

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. T...

You can specify the type of files you want, for your gadget.Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)   |  Ágnes Vathy-Fogarassy, János Abonyi. Which are the reasons I like to read books. Great story by a great author.

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