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» Expectation-MiniMax Approach to Clustering Analysis
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WSC
2008
15 years 4 months ago
Automated generation and parameterization of throughput models for semiconductor tools
Cluster tools play an important role in modern semiconductor fabs. Due to their complexity in configuration and their varying material flow, the creation of accurate throughput mo...
Jan Lange, Kilian Schmidt, Roy Borner, Oliver Rose
BMCBI
2008
142views more  BMCBI 2008»
15 years 2 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
DAWAK
2003
Springer
15 years 7 months ago
Clustering by Regression Analysis
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
IJCAI
2001
15 years 3 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...
BMCBI
2008
143views more  BMCBI 2008»
15 years 2 months ago
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
Shibu Yooseph, Weizhong Li, Granger G. Sutton