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DATAMINE
2002
114views more  DATAMINE 2002»
13 years 8 months ago
Techniques of Cluster Algorithms in Data Mining
An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measur...
Johannes Grabmeier, Andreas Rudolph
BMCBI
2010
175views more  BMCBI 2010»
13 years 8 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
VMV
2003
165views Visualization» more  VMV 2003»
13 years 10 months ago
C1-Continuous Terrain Reconstruction from Sparse Contours
Contour lines from topographic maps are still the most common form of elevation data for the Earth’s surface and in the case of historical landscapes, they often are the only av...
Kai Hormann, Salvatore Spinello, Peter Schröd...
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 10 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
BMCBI
2007
207views more  BMCBI 2007»
13 years 8 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...