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» Experiments on Graph Clustering Algorithms
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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
SIGKDD
2000
95views more  SIGKDD 2000»
15 years 5 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
ICDCS
2006
IEEE
16 years 6 days ago
Fault-Tolerant Clustering in Ad Hoc and Sensor Networks
In this paper, we study distributed approximation algorithms for fault-tolerant clustering in wireless ad hoc and sensor networks. A k-fold dominating set of a graph G = (V, E) is...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
JMLR
2010
113views more  JMLR 2010»
15 years 28 days ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
ICDCS
2002
IEEE
15 years 11 months ago
Clustering Algorithms for Content-Based Publication-Subscription Systems
We consider efficient communication schemes based on both network-supported and application-level multicast techniques for content-based publication-subscription systems. We show...
Anton Riabov, Zhen Liu, Joel L. Wolf, Philip S. Yu...