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NIPS
2008
15 years 6 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...
149
Voted
NIPS
2001
15 years 6 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
124
Voted
ISCAPDCS
2003
15 years 6 months ago
Job Management in Grids of MOSIX Clusters
EnFuzion and MOSIX are two packages that represent different approaches to cluster management. EnFuzion is a user-level queuing system that can dispatch a predetermined number of ...
David Abramson, Amnon Barak, Colin Enticott
155
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IS
2008
15 years 5 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
JCB
2008
170views more  JCB 2008»
15 years 5 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han