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ICCSA
2004
Springer
16 years 2 days ago
A Sequence-Focused Parallelisation of EMBOSS on a Cluster of Workstations
Abstract. A number of individual bioinformatics applications (particularly BLAST and other sequence searching methods) have recently been implemented over clusters of workstations ...
Karl Podesta, Martin Crane, Heather J. Ruskin
TASLP
2011
15 years 1 months ago
Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
—This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are ...
Hiroshi Sawada, Shoko Araki, Shoji Makino
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 8 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 26 days ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
CORR
2004
Springer
218views Education» more  CORR 2004»
15 years 6 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene