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» Comparisons Between Data Clustering Algorithms
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SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
13 years 10 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
BMCBI
2008
171views more  BMCBI 2008»
13 years 9 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
BMCBI
2005
92views more  BMCBI 2005»
13 years 9 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay
DATAMINE
2010
120views more  DATAMINE 2010»
13 years 9 months ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 9 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...