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BMCBI
2007
178views more  BMCBI 2007»
15 years 2 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
15 years 8 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
15 years 11 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
15 years 3 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
118
Voted
EUROPAR
2001
Springer
15 years 6 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