Download e-book for iPad: Graph-Based Clustering and Data Visualization Algorithms by Ágnes Vathy-Fogarassy,János Abonyi

By Ágnes Vathy-Fogarassy,János Abonyi

This paintings offers a knowledge visualization strategy that mixes graph-based topology illustration and dimensionality aid easy methods to visualize the intrinsic facts constitution in a low-dimensional vector area. the appliance of graphs in clustering and visualization has numerous benefits. A graph of vital edges (where edges symbolize relatives and weights characterize similarities or distances) offers a compact illustration of the whole complicated information set. this article describes clustering and visualization tools which are in a position to make the most of details hidden in those graphs, in keeping with the synergistic mixture of clustering, graph-theory, neural networks, info visualization, dimensionality aid, fuzzy tools, and topology studying. The paintings comprises a variety of examples to assist within the knowing and implementation of the proposed algorithms, supported through a MATLAB toolbox to be had at an linked website.

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Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science) by Ágnes Vathy-Fogarassy,János Abonyi


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