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» An Interactive View for Hierarchical Clustering
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GRAPHICSINTERFACE
2008
13 years 9 months ago
LiveSync++: enhancements of an interaction metaphor
The LiveSync interaction metaphor allows an efficient and nonintrusive integration of 2D and 3D visualizations in medical workstations. This is achieved by synchronizing the 2D sl...
Peter Kohlmann, Stefan Bruckner, Armin Kanitsar, E...
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
SCOWLP classification: Structural comparison and analysis of protein binding regions
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
EDBT
2006
ACM
266views Database» more  EDBT 2006»
14 years 7 months ago
From Analysis to Interactive Exploration: Building Visual Hierarchies from OLAP Cubes
We present a novel framework for comprehensive exploration of OLAP data by means of user-defined dynamic hierarchical visualizations. The multidimensional data model behind the OLA...
Svetlana Vinnik, Florian Mansmann
ICML
2009
IEEE
14 years 8 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
MSV
2004
13 years 9 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly