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IV
2005
IEEE
136views Visualization» more  IV 2005»
15 years 5 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 1 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
VTC
2006
IEEE
129views Communications» more  VTC 2006»
15 years 5 months ago
A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers
— We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection ...
Nicolai Czink, Pierluigi Cera, Jari Salo, Ernst Bo...
PAKDD
2004
ACM
97views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Further Applications of a Particle Visualization Framework
Our previous work introduced a 3D particle visualization framework that viewed each data point as being a particle affected by gravitational forces. We showed the use of this tool ...
Ke Yin, Ian Davidson
DATE
2008
IEEE
91views Hardware» more  DATE 2008»
15 years 6 months ago
Fault Clustering in deep-submicron CMOS Processes
The fraction of ICs that pass all production tests but fail in the application is called the defect level. Defect levels depend on the average number of defects per IC, and also o...
Jan Schat