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» A Tutorial on Spectral Clustering
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ISBI
2011
IEEE
14 years 6 months 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...
113
Voted
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
15 years 8 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»
16 years 2 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...
105
Voted
COLT
2006
Springer
15 years 6 months 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...
124
Voted
DAS
2008
Springer
15 years 4 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