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» Dynamic Cluster Formation Using Level Set Methods
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ADBIS
2009
Springer
162views Database» more  ADBIS 2009»
14 years 19 days ago
Efficient Set Similarity Joins Using Min-prefixes
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Leonardo Ribeiro, Theo Härder
CSMR
2007
IEEE
14 years 2 months ago
The Dynamic Function Coupling Metric and Its Use in Software Evolution
Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...
Árpád Beszédes, Tamás ...
CIMCA
2005
IEEE
14 years 2 months ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras
BMCBI
2007
99views more  BMCBI 2007»
13 years 8 months ago
The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data
Background: The combination of mass spectrometry and solution phase amide hydrogen/deuterium exchange (H/D exchange) experiments is an effective method for characterizing protein ...
B. D. Pascal, M. J. Chalmers, S. A. Busby, C. C. M...
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...