13 search results - page 2 / 3 » An Adaptive Kernel Method for Semi-supervised Clustering |
TKDE
2012
12 years 1 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
ICPR
2006
IEEE
14 years 12 months ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
CIKM
2006
Springer
14 years 2 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
IJON
2006
13 years 10 months ago
2006
In this paper, we first design a more generalized network model, Improved CBP, based on the same structure as Circular BackPropagation (CBP) proposed by Ridella et al. The novelty ...