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ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 10 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
CLUSTER
2002
IEEE
15 years 11 months ago
I/O Analysis and Optimization for an AMR Cosmology Application
In this paper, we investigate the data access patterns and file I/O behaviors of a production cosmology application that uses the adaptive mesh refinement (AMR) technique for it...
Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Vale...
ICANN
2003
Springer
15 years 12 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 6 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...
IR
2002
15 years 6 months ago
Adaptive Filtering of Newswire Stories using Two-Level Clustering
Adaptive filtering of news is an area of information retrieval gaining substantial interest as services become more available on the Internet. This paper reports on a number of ex...
David Eichmann, Padmini Srinivasan