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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 2 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
13 years 11 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
AINA
2004
IEEE
13 years 9 months ago
Parallel PageRank Computation on a Gigabit PC Cluster
Efficient computing the PageRank scores for a large web graph is actually one of the hot issues in Web-IR community. Recent researches propose to accelerate the computation, both ...
Bundit Manaskasemsak, Arnon Rungsawang
ICPR
2006
IEEE
14 years 6 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
14 years 5 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain