Graph-Based Clustering and Data Visualization Algorithms

Graph-Based Clustering and Data Visualization Algorithms

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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.
Διαθέσιμο Online:	Full Text via HEAL-Link

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