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» Evaluation of clustering algorithms for gene expression data
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IPPS
2008
IEEE
16 years 1 months ago
Parallelized preprocessing algorithms for high-density oligonucleotide arrays
Studies of gene expression using high-density oligonucleotide microarrays have become standard in a variety of biological contexts. The data recorded using the microarray techniqu...
Markus Schmidberger, Ulrich Mansmann
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
16 years 21 days ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
193
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EVOW
2006
Springer
15 years 10 months ago
Hierarchical Clustering, Languages and Cancer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
16 years 1 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
ISMB
1998
15 years 8 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin