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BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 1 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
14 years 1 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 1 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 8 months ago
An Ontology-based Knowledge Management System for Industry Clusters
Knowledge-based economy forces companies in every country to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development re...
Pradorn Sureephong, Nopasit Chakpitak, Yacine Ouzr...