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INFORMATICALT
2010
103views more  INFORMATICALT 2010»
15 years 1 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
15 years 8 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 12 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
SWAT
2010
Springer
282views Algorithms» more  SWAT 2010»
15 years 11 months ago
Better Bounds on Online Unit Clustering
Unit Clustering is the problem of dividing a set of points from a metric space into a minimal number of subsets such that the points in each subset are enclosable by a unit ball. W...
Martin R. Ehmsen, Kim S. Larsen
ICIAP
2001
Springer
16 years 6 months ago
Clustering Context Properties of Wavelet Coefficients in Automatic Modelling and Image Coding
An algorithm for automatic modelling of wavelet coefficients from context properties is presented. The algorithm is used to implement an image coder, in order to demonstrate its i...
Joonas Lehtinen, Juha Kivijärvi