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» A Tutorial on Spectral Clustering
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ISBI
2011
IEEE
13 years 4 days ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Co-Clustering of Time-Evolving News Story with Transcript and Keyframe
This paper presents techniques in clustering the sametopic news stories according to event themes. We model the relationship of stories with textual and visual concepts under the ...
Xiao Wu, Chong-Wah Ngo, Qing Li
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 8 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
COLT
2006
Springer
14 years 5 days ago
A Sober Look at Clustering Stability
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
Shai Ben-David, Ulrike von Luxburg, Dávid P...
DAS
2008
Springer
13 years 10 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda