Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.
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- Machine Learning, 2004, v. 56, n. 1-3, p. 153, doi. 10.1023/B:MACH.0000033118.09057.80
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2004 AND VI 56 AND IP 1-3
Results: 9
1
2
Central Clustering of Attributed Graphs.
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- Machine Learning, 2004, v. 56, n. 1-3, p. 169, doi. 10.1023/B:MACH.0000033119.52532.ce
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- Publication type:
- Article
3
Clustering Large Graphs via the Singular Value Decomposition.
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- Machine Learning, 2004, v. 56, n. 1-3, p. 9, doi. 10.1023/B:MACH.0000033113.59016.96
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- Publication type:
- Article
4
Correlation Clustering.
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- Machine Learning, 2004, v. 56, n. 1-3, p. 89, doi. 10.1023/B:MACH.0000033116.57574.95
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- Publication type:
- Article
5
A New Conceptual Clustering Framework.
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- Machine Learning, 2004, v. 56, n. 1-3, p. 115, doi. 10.1023/B:MACH.0000033117.77257.41
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- Publication type:
- Article
6
Optimal Time Bounds for Approximate Clustering.
- Published in:
- Machine Learning, 2004, v. 56, n. 1-3, p. 35, doi. 10.1023/B:MACH.0000033114.18632.e0
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- Publication type:
- Article
7
A k-Median Algorithm with Running Time Independent of Data Size.
- Published in:
- Machine Learning, 2004, v. 56, n. 1-3, p. 61, doi. 10.1023/B:MACH.0000033115.78247.f0
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- Publication type:
- Article
8
Introduction: Special Issue on Theoretical Advances in Data Clustering.
- Published in:
- Machine Learning, 2004, v. 56, n. 1-3, p. 5, doi. 10.1023/B:MACH.0000033143.04310.9b
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- Publication type:
- Article
9
Semi-Supervised Learning on Riemannian Manifolds.
- Published in:
- Machine Learning, 2004, v. 56, n. 1-3, p. 209, doi. 10.1023/B:MACH.0000033120.25363.1e
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- Publication type:
- Article