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» Approximation Algorithms for Clustering Problems
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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 11 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
ECML
2006
Springer
15 years 8 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
146
Voted
COCO
2004
Springer
147views Algorithms» more  COCO 2004»
15 years 8 months ago
The Complexity of the Covering Radius Problem on Lattices and Codes
We initiate the study of the computational complexity of the covering radius problem for point lattices, and approximation versions of the problem for both lattices and linear cod...
Venkatesan Guruswami, Daniele Micciancio, Oded Reg...
140
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TON
2008
119views more  TON 2008»
15 years 4 months ago
Polynomial time approximation algorithms for multi-constrained QoS routing
We study the multi-constrained Quality-of-Service (QoS) routing problem where one seeks to find a path from a source to a destination in the presence of K 2 additive end-to-end Qo...
Guoliang Xue, Weiyi Zhang, Jian Tang, Krishnaiyan ...
ALT
2008
Springer
16 years 1 months ago
Clustering with Interactive Feedback
In this paper, we initiate a theoretical study of the problem of clustering data under interactive feedback. We introduce a query-based model in which users can provide feedback to...
Maria-Florina Balcan, Avrim Blum