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» Approximation schemes for clustering problems
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FOCS
2008
IEEE
14 years 9 months ago
Approximation Algorithms for Single-minded Envy-free Profit-maximization Problems with Limited Supply
We present the first polynomial-time approximation algorithms for single-minded envy-free profit-maximization problems [13] with limited supply. Our algorithms return a pricing sc...
Maurice Cheung, Chaitanya Swamy
CGF
2004
127views more  CGF 2004»
14 years 9 months ago
Approximated Centroidal Voronoi Diagrams for Uniform Polygonal Mesh Coarsening
We present a novel clustering algorithm for polygonal meshes which approximates a Centroidal Voronoi Diagram construction. The clustering provides an efficient way to construct un...
Sébastien Valette, Jean-Marc Chassery
PR
2006
95views more  PR 2006»
14 years 9 months ago
Classification of acoustic events using SVM-based clustering schemes
Acoustic events produced in controlled environments may carry information useful for perceptually aware interfaces. In this paper we focus on the problem of classifying 16 types o...
Andrey Temko, Climent Nadeu
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
15 years 11 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
PODS
2008
ACM
153views Database» more  PODS 2008»
15 years 9 months ago
Approximation algorithms for co-clustering
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar