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» Iterative Incremental Clustering of Time Series
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ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
14 years 3 months ago
Clustering for processing rate optimization
Clustering (or partitioning) is a crucial step between logic synthesis and physical design in the layout of a large scale design. A design verified at the logic synthesis level m...
Chuan Lin, Jia Wang, Hai Zhou
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 10 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
JISE
2010
144views more  JISE 2010»
13 years 1 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
SAMOS
2009
Springer
14 years 23 days ago
Experiences with Cell-BE and GPU for Tomography
Tomography is a powerful technique for three-dimensional imaging, that deals with image reconstruction from a series of projection images, acquired along a range of viewing directi...
Sander van der Maar, Kees Joost Batenburg, Jan Sij...
BMCBI
2008
138views more  BMCBI 2008»
13 years 6 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...