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» A general model for clustering binary data
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IQ
2007
13 years 9 months ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman
CONTEXT
2005
Springer
14 years 1 months ago
A Quantitative Categorization of Phonemic Dialect Features in Context
We test a method of clustering dialects of English according to patterns of shared phonological features. Previous linguistic research has generally considered phonological feature...
Naomi Nagy, Xiaoli Zhang, George Nagy, Edgar W. Sc...
CVIU
1999
238views more  CVIU 1999»
13 years 7 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa
PAMI
2010
192views more  PAMI 2010»
13 years 6 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...