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» Why so many clustering algorithms: a position paper
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SIGKDD
2002
69views more  SIGKDD 2002»
15 years 1 days ago
Why so many clustering algorithms: a position paper
Vladimir Estivill-Castro
BIBE
2007
IEEE
128views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
QOMA2: Optimizing the alignment of many sequences
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
Xu Zhang, Tamer Kahveci
175
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BVAI
2007
Springer
15 years 6 months ago
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna ...
112
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IEEECIT
2009
IEEE
15 years 7 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
121
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BIBE
2007
IEEE
195views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data
— In this paper, we propose a system for finding partial positive and negative coregulated gene clusters in microarray data. Genes are clustered together if they show the same p...
Kerstin Koch, Stefan Schönauer, Ivy Jansen, J...