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» Beyond Pairwise Clustering
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BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 1 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
JISE
2010
52views more  JISE 2010»
13 years 2 months ago
A Novel Spectral Clustering Method Based on Pairwise Distance Matrix
Chi-Fang Chin, Arthur Chun-Chieh Shih, Kuo-Chin Fa...
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
14 years 29 days ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
ICCV
2009
IEEE
15 years 10 days ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu