Graph-Based Clustering and Data Visualization Algorithms

• Main Authors: Vathy-Fogarassy, Ágnes (Author), Abonyi, János (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Data mining.; Mathematics.; Visualization.; Computer Science.; Data Mining and Knowledge Discovery.

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 gr...

Table of Contents:

• Vector Quantisation and Topology-Based Graph Representation
• Graph-Based Clustering Algorithms
• Graph-Based Visualisation of High-Dimensional Data.