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» An overview of clustering methods
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 10 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 20 days ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
CGF
2010
171views more  CGF 2010»
15 years 3 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
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ACCV
2010
Springer
15 years 1 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
ICC
2007
IEEE
142views Communications» more  ICC 2007»
16 years 29 days ago
Reduced-Complexity Cluster Modelling for the 3GPP Channel Model
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Hui Xiao, Alister G. Burr, Rodrigo C. de Lamare