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» A Genetic Algorithm for Clustering on Very Large Data Sets
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BMCBI
2008
153views more  BMCBI 2008»
13 years 8 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
RECOMB
2002
Springer
14 years 9 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
CEC
2005
IEEE
14 years 2 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
TCAD
2002
118views more  TCAD 2002»
13 years 8 months ago
Application-specific clustered VLIW datapaths: early exploration on a parameterized design space
Specialized clustered very large instruction word (VLIW) processors combined with effective compilation techniques enable aggressive exploitation of the high instruction-level para...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
CAP
2010
13 years 3 months ago
Parallel disk-based computation for large, monolithic binary decision diagrams
Binary Decision Diagrams (BDDs) are widely used in formal verification. They are also widely known for consuming large amounts of memory. For larger problems, a BDD computation wi...
Daniel Kunkle, Vlad Slavici, Gene Cooperman