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» Visualizing Graphs and Clusters as Maps
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GD
2004
Springer
14 years 1 months ago
Visualizing Large Graphs with Compound-Fisheye Views and Treemaps
Compound-fisheye views are introduced as a method for the display and interaction with large graphs. The method relies on a hierarchical clustering of the graph, and a generalizat...
James Abello, Stephen G. Kobourov, Roman Yusufov
ICMLA
2008
13 years 9 months ago
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
BMCBI
2010
125views more  BMCBI 2010»
13 years 8 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
ESANN
2006
13 years 9 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
ICDM
2002
IEEE
101views Data Mining» more  ICDM 2002»
14 years 1 months ago
A Self-Organizing Map with Expanding Force for Data Clustering and Visualization
Wing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Le...