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» Geometric Clustering Using the Information Bottleneck Method
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RECOMB
2001
Springer
15 years 10 months ago
Geometric algorithms for the analysis of 2D-electrophoresis gels
In proteomics 2?dimensional gel electrophoresis (2?DE) is a separation technique for proteins. The resulting protein spots can be identified by either using picking robots and sub...
Alon Efrat, Frank Hoffmann, Klaus Kriegel, Christo...
DMIN
2008
152views Data Mining» more  DMIN 2008»
14 years 11 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
NECO
2002
53views more  NECO 2002»
14 years 9 months ago
Information-Geometric Measure for Neural Spikes
The present study introduces information-geometricmeasures to analyze neural ring patterns by taking not only the secondorder but also higher-order interactions among neurons into...
Hiroyuki Nakahara, Shun-ichi Amari
TCAD
2008
136views more  TCAD 2008»
14 years 9 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar
SBBD
2003
135views Database» more  SBBD 2003»
14 years 11 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane