90 search results - page 7 / 18 » Spectral Clustering by Recursive Partitioning |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
NIPS
2001
13 years 8 months ago
2001
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...