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» An overview of clustering methods
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TKDE
2008
115views more  TKDE 2008»
13 years 10 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
ICPR
2008
IEEE
14 years 4 months ago
An automatic cell segmentation method for differential interference contrast microscopy
With the huge amount of cell images produced in bio-imaging, automatic methods for segmentation are needed in order to evaluate the content of the images with respect to types of ...
Arjan Kuijper, Bettina Heise
SADM
2010
141views more  SADM 2010»
13 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
HPCN
1999
Springer
14 years 2 months ago
A Parallel Implementation of the Block Preconditioned GCR Method
Abstract. The parallel implementation of GCR is addressed, with particular focus on communication costs associated with orthogonalization processes. This consideration brings up qu...
C. Vuik, Jason Frank
CEJCS
2011
78views more  CEJCS 2011»
12 years 10 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig