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» Approximation algorithms for projective clustering
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134
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KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 3 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 1 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 6 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
84
Voted
EUROPAR
2007
Springer
15 years 6 months ago
Cooperation in Multi-organization Scheduling
The distributed nature of the grid results in the problem of scheduling parallel jobs produced by several independent organizations that have partial control over the system. We co...
Fanny Pascual, Krzysztof Rzadca, Denis Trystram
97
Voted
SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
15 years 6 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu