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HAIS
2008
Springer
15 years 6 months ago
Clustering Likelihood Curves: Finding Deviations from Single Clusters
For systematic analyses of quantitative mass spectrometry data a method was developed in order to reveal peptides within a protein, that show differences in comparison with the rem...
Claudia Hundertmark, Frank Klawonn
PR
2006
84views more  PR 2006»
15 years 4 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
ESANN
2006
15 years 6 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
161
Voted
BMCBI
2008
166views more  BMCBI 2008»
15 years 5 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
150
Voted
CLUSTER
2009
IEEE
15 years 8 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra