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144
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CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
124
Voted
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 10 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
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...
94
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