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» Clustering with the Connectivity Kernel
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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
CEC
2005
IEEE
14 years 3 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
CLUSTER
2004
IEEE
14 years 1 months ago
A comparison of local and gang scheduling on a Beowulf cluster
Gang Scheduling and related techniques are widely believed to be necessary for efficientjob scheduling on distributed memory parallel computers. This is hecause they minimize cont...
Peter E. Strazdins, John Uhlmann
TCS
2010
13 years 8 months ago
Clustering with partial information
The Correlation Clustering problem, also known as the Cluster Editing problem, seeks to edit a given graph by adding and deleting edges to obtain a collection of disconnected cliq...
Hans L. Bodlaender, Michael R. Fellows, Pinar Hegg...
PAMI
2007
196views more  PAMI 2007»
13 years 9 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock