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ISMB
1998
13 years 10 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 9 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
EOR
2007
110views more  EOR 2007»
13 years 9 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
NAR
2008
78views more  NAR 2008»
13 years 9 months ago
InParanoid 6: eukaryotic ortholog clusters with inparalogs
The InParanoid eukaryotic ortholog database (http://InParanoid.sbc.su.se/) has been updated to version 6 and is now based on 35 species. We collected all available `complete'...
Ann-Charlotte Berglund, Erik Sjölund, Gabriel...
TIP
2008
125views more  TIP 2008»
13 years 9 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte