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ESANN
2004
13 years 6 months ago
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps
Abstract. The use of self-organizing maps to analyze data often depends on finding effective methods to visualize the SOM's structure. In this paper we propose a new way to pe...
Cesar García-Osorio, Jesús Maudes, C...
BMCBI
2004
87views more  BMCBI 2004»
13 years 4 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
VISUALIZATION
2005
IEEE
13 years 10 months ago
Visualization of Time-Dependent Remote Adaptive Mesh Refinement Data
Ralf Kähler, Steffen Prohaska, Andrei Hutanu,...
CHI
2010
ACM
13 years 11 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
CVPR
2008
IEEE
14 years 6 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu