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» A clustering method that uses lossy aggregation of data
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ISPAN
2005
IEEE
14 years 2 months ago
An Efficient MPI-IO for Noncontiguous Data Access over InfiniBand
Noncontiguous data access is a very common access pattern in many scientific applications. Using POSIX I/O to access many pieces of noncontiguous data segments will generate a lot...
Ding-Yong Hong, Ching-Wen You, Yeh-Ching Chung
CEC
2008
IEEE
14 years 3 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
CSDA
2006
83views more  CSDA 2006»
13 years 9 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
BMCBI
2008
204views more  BMCBI 2008»
13 years 9 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
IPMI
2001
Springer
14 years 10 months ago
Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Aljaz Noe, James C. Gee