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» Visualizing Graphs and Clusters as Maps
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CEC
2005
IEEE
14 years 2 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
BMCBI
2002
195views more  BMCBI 2002»
13 years 8 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Finding Image Structure by Hierarchal Segmentation
Image segmentation has been studied for many years. But what factors influence segmentation results indeed? Why some images are easy to be handled while the others are not? In thi...
Bo Qiu, Daniel Racoceanu
ESWS
2005
Springer
14 years 2 months ago
Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
CVPR
2008
IEEE
14 years 10 months ago
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to...
Diana Mateus, Radu Horaud, David Knossow, Fabio Cu...