Sciweavers

1161 search results - page 25 / 233
» Approximation schemes for clustering problems
Sort
View
COCOON
2010
Springer
15 years 2 months ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
SSD
2005
Springer
116views Database» more  SSD 2005»
15 years 3 months ago
PA-Tree: A Parametric Indexing Scheme for Spatio-temporal Trajectories
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
Jinfeng Ni, Chinya V. Ravishankar
ICALP
2005
Springer
15 years 3 months ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
UAI
2001
14 years 11 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
HICSS
2008
IEEE
199views Biometrics» more  HICSS 2008»
15 years 4 months ago
Clustering and the Biclique Partition Problem
A technique for clustering data by common attribute values involves grouping rows and columns of a binary matrix to make the minimum number of submatrices all 1’s. As binary mat...
Doina Bein, Linda Morales, Wolfgang W. Bein, C. O....