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MICCAI
2004
Springer
14 years 10 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
JASIS
2007
122views more  JASIS 2007»
13 years 9 months ago
Exploiting parallelism to support scalable hierarchical clustering
A distributed memory parallel version of the group average Hierarchical Agglomerative Clustering algorithm is proposed to enable scaling the document clustering problem to large c...
Rebecca Cathey, Eric C. Jensen, Steven M. Beitzel,...
ECML
2007
Springer
14 years 4 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
PVLDB
2008
107views more  PVLDB 2008»
13 years 8 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
IJAR
2008
88views more  IJAR 2008»
13 years 10 months ago
Clustering decomposed belief functions using generalized weights of conflict
We develop a method for clustering all types of belief functions, in particular non-consonant belief functions. Such clustering is done when the belief functions concern multiple ...
Johan Schubert