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WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
14 years 1 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICASSP
2011
IEEE
12 years 11 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
CSDA
2006
83views more  CSDA 2006»
13 years 7 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
ACCV
2010
Springer
13 years 2 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
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 7 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham