31 search results - page 3 / 7 » Kernel k-means: spectral clustering and normalized cuts |
MVA
2007
14 years 11 months ago
2007
This paper proposes a novel approach for vehicle orientation detection using “vehicle color” and edge information based on clustering framework. To extract the “vehicle colo...
JMLR
2006
14 years 9 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
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UAI
2003
14 years 11 months ago
2003
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
PAMI
2010
14 years 8 months ago
2010
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...