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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 8 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
BMCBI
2008
259views more  BMCBI 2008»
15 years 6 months ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
189
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ADMA
2008
Springer
124views Data Mining» more  ADMA 2008»
15 years 8 months ago
Dimensionality Reduction for Classification
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
Frank Plastria, Steven De Bruyne, Emilio Carrizosa
157
Voted
SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
15 years 7 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
201
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SDM
2007
SIAM
109views Data Mining» more  SDM 2007»
15 years 7 months ago
Segmentations with Rearrangements
Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
Aristides Gionis, Evimaria Terzi