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BMCBI
2007
178views more  BMCBI 2007»
13 years 8 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
CEC
2005
IEEE
14 years 2 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
ALT
2009
Springer
14 years 5 months ago
Agnostic Clustering
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
Maria-Florina Balcan, Heiko Röglin, Shang-Hua...
PPSC
2001
13 years 10 months ago
Airline Crew Pairing Generation in Parallel
Crew pairing generation is a time consuming part of the complex process of airline crew scheduling. We present a parallel algorithm for this problem's solution and several im...
Diego Klabjan, Karsten Schwan
EUROPAR
2001
Springer
14 years 1 months ago
Implementing Java on Clusters
We have implemented a virtual machine (VM) for Java which executes on a cluster. Our cluster VM completely hides the cluster from the application, presenting a single system image...
Yariv Aridor, Michael Factor, Avi Teperman