[Read now] Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
❀ Ágnes Vathy-Fogarassy, János Abonyi ❀
| #586790 in Books | Agnes Vathy fogarassy | 2013-05-24 | 2013-05-28 | Original language:English | PDF # 1 | 9.25 x.28 x6.10l,.41 | File Name: 1447151577 | 110 pages | Graph Based Clustering and Data Visualization Algorithms
||0 of 0 people found the following review helpful.| Five Stars|By Mark|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 i
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. ...
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