671 search results - page 6 / 135 » Mean shift-based clustering |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
AAAI
2004
13 years 9 months ago
2004
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
FSKD
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. A fuzzy c-means algorithm incorporating the notion of dominant colors and spatial homogeneity is proposed for the color clustering problem. The proposed algorithm extract...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a...
CVPR
2006
IEEE
14 years 1 months ago
2006
IEEE
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further e...