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» An overview of clustering methods
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ECCV
2010
Springer
13 years 11 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
WOB
2007
116views Bioinformatics» more  WOB 2007»
13 years 10 months ago
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...
Ivan G. Costa, Marcílio Carlos Pereira de S...
EUROPAR
2005
Springer
14 years 2 months ago
Developing Java Grid Applications with Ibis
Ibis1 is a programming environment for the development of grid applications in Java. We aim to support a wide range of applications and parallel platforms, so our example programs ...
Kees van Reeuwijk, Rob van Nieuwpoort, Henri E. Ba...
CGA
2010
13 years 6 months ago
Newdle: Interactive Visual Exploration of Large Online News Collections
In this paper, we present a novel visual analytics system named Newdle with a focus on exploring large online news collections when the semantics of the individual news articles ha...
Jing Yang, Dongning Luo, Yujie Liu
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
14 years 2 months ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...