Graph-Based Clustering and Data Visualization Algorithms

• Κύριοι συγγραφείς: Vathy-Fogarassy, Ágnes (Συγγραφέας), Abonyi, János (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: 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...

Πίνακας περιεχομένων:

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