2180 search results - page 288 / 436 » Algorithms for discovering bucket orders from data |
126
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BIODATAMINING
2008
15 years 4 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
158
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
153
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SDM
2008
SIAM
15 years 6 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
153
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MCS
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
129
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BMCBI
2010
15 years 4 months ago
2010
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...