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» A practical comparison of two K-Means clustering algorithms
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COCOON
2005
Springer
15 years 5 months ago
Perfect Sorting by Reversals
In computational biology, gene order data is often modelled as signed permutations. A classical problem in genome comparison is to detect conserved segments in a permutation, that ...
Marie-France Sagot, Eric Tannier
PRL
2008
143views more  PRL 2008»
14 years 11 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
BMCBI
2008
132views more  BMCBI 2008»
14 years 11 months ago
The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes thr
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. ...
ESA
2005
Springer
123views Algorithms» more  ESA 2005»
15 years 5 months ago
Oblivious vs. Distribution-Based Sorting: An Experimental Evaluation
We compare two algorithms for sorting out-of-core data on a distributed-memory cluster. One algorithm, Csort, is a 3-pass oblivious algorithm. The other, Dsort, makes three passes...
Geeta Chaudhry, Thomas H. Cormen
CIS
2007
Springer
15 years 5 months ago
Mining with Noise Knowledge: Error Aware Data Mining
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
Xindong Wu