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» Summarizing visual data using bidirectional similarity
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GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
14 years 2 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
SCCC
2005
IEEE
14 years 2 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
BMCBI
2006
103views more  BMCBI 2006»
13 years 9 months ago
Correction of scaling mismatches in oligonucleotide microarray data
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...
Martino Barenco, Jaroslav Stark, Daniel Brewer, Da...
APVIS
2007
13 years 10 months ago
A comparison of vertex ordering algorithms for large graph visualization
In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
PST
2008
13 years 10 months ago
LogView: Visualizing Event Log Clusters
Event logs or log files form an essential part of any network management and administration setup. While log files are invaluable to a network administrator, the vast amount of dat...
Adetokunbo Makanju, Stephen Brooks, A. Nur Zincir-...