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» Classes and clusters in data analysis
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ICASSP
2009
IEEE
15 years 4 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 ...
IJCNN
2008
IEEE
15 years 4 months ago
Comparative study on normalization procedures for cluster analysis of gene expression datasets
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
Marcílio Carlos Pereira de Souto, Daniel S....
CVIU
2006
139views more  CVIU 2006»
14 years 10 months ago
Color image segmentation by analysis of subset connectedness and color homogeneity properties
In this paper, we present a new color image segmentation scheme based on unsupervised pixel classification that works even when there is not a one-to-one correspondence between th...
Ludovic Macaire, Nicolas Vandenbroucke, Jack-G&eac...
WEBI
2001
Springer
15 years 2 months ago
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichiha...
CVPR
2012
IEEE
13 years 10 days ago
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynami
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandra...