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» Approximation schemes for clustering problems
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124
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SMI
2008
IEEE
108views Image Analysis» more  SMI 2008»
15 years 10 months ago
Variational Multilevel Mesh Clustering
In this paper a novel clustering algorithm is proposed, namely Variational Multilevel Mesh Clustering (VMLC). The algorithm incorporates the advantages of both hierarchical and va...
Iurie Chiosa, Andreas Kolb
123
Voted
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 9 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
144
Voted
NIPS
2008
15 years 5 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
CLUSTER
2000
IEEE
15 years 8 months ago
Contention-free Complete Exchange Algorithm on Clusters
To construct a large commodity clustec a hierarchical network is generally adopted for connecting the host muchines, where a Gigabit backbone switch connects a few commodity switc...
Anthony T. C. Tam, Cho-Li Wang
241
Voted
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
16 years 3 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...