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» The Practice of Cluster Analysis
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215
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PRICAI
2010
Springer
15 years 1 months ago
Multi-manifold Clustering
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
ICASSP
2009
IEEE
15 years 10 months ago
Exploring functional connectivity in fMRI via clustering
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
196
Voted
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
16 years 3 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
95
Voted
ICDAR
1995
IEEE
15 years 7 months ago
A feature point clustering approach to the segmentation of form documents
Kuo-Chin Fan, Jeng-Ming Lu, Jiing-Yuh Wang
149
Voted
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 23 days ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...