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CGF
2010
171views more  CGF 2010»
13 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
ACCV
2010
Springer
13 years 4 months ago
Earth Mover's Morphing: Topology-Free Shape Morphing Using Cluster-Based EMD Flows
Abstract. This paper describes a method for topology-free shape morphing based on region cluster-based Earth Mover's Distance (EMD) flows, since existing methods for closed cu...
Yasushi Makihara, Yasushi Yagi
KBS
2006
150views more  KBS 2006»
13 years 9 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
ICPR
2008
IEEE
14 years 4 months ago
Scale-invariant density-based clustering initialization algorithm and its application
In this paper, we bring out a new density-based clustering initialization algorithm which is invariant to the scale factor. Instead of using the scale factor while the cluster ini...
Chunsheng Hua, Ryusuke Sagawa, Yasushi Yagi
CORIA
2008
13 years 11 months ago
Involving Validity Indices in Document Clustering
The goal of any clustering algorithm is to find the optimal clustering solution with the optimal number of clusters. In order to evaluate a clustering solution, a number of validit...
Ahmad El Sayed, Hakim Hacid, Djamel A. Zighed