Can I read Graph-Based Clustering and Data Visualization Algorithms on EtoBox?

Graph-Based Clustering and Data Visualization Algorithms by Vathy-Fogarassy, Ãgnes; Abonyi, János is a nonfiction available to read on EtoBox.

What is Graph-Based Clustering and Data Visualization Algorithms about?

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 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. The work contains numerous examples to aid in the understanding and implementation of the proposed algorithms, supported by a MATLAB toolbox available at an associated website.

Who reads Graph-Based Clustering and Data Visualization Algorithms?

Author

Vathy-Fogarassy, Ãgnes; Abonyi, János

Publisher

Springer London; Imprint: Springer

Published

2013

Language

EN

ISBN

9781447151586

Category

nonfiction

Subjects

Mathematics, Science, Computer Science