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CSMR
2000
IEEE
14 years 20 hour ago
Architectural Design Recovery using Data Mining Techniques
This paper presents a technique for recovering the high level design of legacy software systems according to user defined architectural plans. Architectural plans are represented...
Kamran Sartipi, Kostas Kontogiannis, Farhad Mavadd...
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
14 years 29 days ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 26 days ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
CONSTRAINTS
2008
95views more  CONSTRAINTS 2008»
13 years 7 months ago
Efficient Sequence Alignment with Side-Constraints by Cluster Tree Elimination
Aligning DNA and protein sequences is a core technique in molecular biology. Often, it is desirable to include partial prior knowledge and conditions in an alignment. Going beyond...
Sebastian Will, Anke Busch, Rolf Backofen