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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
14 years 22 days ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
14 years 3 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
BTW
2003
Springer
109views Database» more  BTW 2003»
14 years 2 months ago
Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering
: Analysis-oriented database applications, such as data warehousing or customer relationship management, play a crucial role in the database area. In general, the multidimensional ...
Roland Pieringer, Klaus Elhardt, Frank Ramsak, Vol...
JCISE
2002
204views more  JCISE 2002»
13 years 8 months ago
Hierarchical Iso-Surface Extraction
The extraction and display of iso-surfaces is a standard method for the visualization of volume data sets. In this paper we present a novel approach that utilizes a hierarchy on b...
Ulf Labsik, Kai Hormann, Martin Meister, Günt...
BMCBI
2008
117views more  BMCBI 2008»
13 years 9 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...