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412views
15 years 6 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
ICC
2011
IEEE
201views Communications» more  ICC 2011»
12 years 7 months ago
Survivable Optical Grid Dimensioning: Anycast Routing with Server and Network Failure Protection
Abstract—Grids can efficiently deal with challenging computational and data processing tasks which cutting edge science is generating today. So-called e-Science grids cope with ...
Chris Develder, Jens Buysse, Ali Shaikh, Brigitte ...
WICSA
2004
13 years 9 months ago
Software Architecture for Large-Scale, Distributed, Data-Intensive Systems
The sheer amount of data produced by modern science research has created a need for the construction and understanding of "data-intensive systems", largescale, distribut...
Chris Mattmann, Daniel J. Crichton, J. Steven Hugh...
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Gene analogue finder: a GRID solution for finding functionally analogous gene products
Background: To date more than 2,1 million gene products from more than 100000 different species have been described specifying their function, the processes they are involved in a...
Angelica Tulipano, Giacinto Donvito, Flavio Licciu...
ACSC
2005
IEEE
14 years 1 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka