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» Evaluation of Clusterings - Metrics and Visual Support
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ICML
2005
IEEE
14 years 6 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
TCBB
2010
136views more  TCBB 2010»
13 years 3 months ago
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
IEEEVAST
2010
13 years 10 days ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
CGF
2010
112views more  CGF 2010»
13 years 5 months ago
Evaluation of Cluster Identification Performance for Different PCP Variants
Parallel coordinate plots (PCPs) are a well-known visualization technique for viewing multivariate data. In the past, various visual modifications to PCPs have been proposed to fa...
Danny Holten, Jarke J. van Wijk
JPDC
2008
134views more  JPDC 2008»
13 years 5 months ago
Analyzing the performance of a cluster-based architecture for immersive visualization systems
Cluster computing has become an essential issue for designing immersive visualization systems. This paradigm employs scalable clusters of commodity computers with much lower costs...
Pedro Morillo, Aron Bierbaum, Patrick Hartling, Ma...