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» A Fast Multivariate Nearest Neighbour Imputation Algorithm
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WCE
2007
13 years 5 months ago
A Fast Multivariate Nearest Neighbour Imputation Algorithm
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Nearest neighbour (NN) imputation al...
Norman Solomon, Giles Oatley, Kenneth McGarry
CSDA
2006
82views more  CSDA 2006»
13 years 4 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
ICPR
2010
IEEE
13 years 4 months ago
A Constant Average Time Algorithm to Allow Insertions in the LAESA Fast Nearest Neighbour Search Index
Abstract—Nearest Neighbour search is a widely used technique in Pattern Recognition. In order to speed up the search many indexing techniques have been proposed. However, most of...
Luisa Micó, José Oncina
PR
2006
132views more  PR 2006»
13 years 4 months ago
Some approaches to improve tree-based nearest neighbour search algorithms
Nearest neighbour search is a widely used technique in pattern recognition. During the last three decades a large number of fast algorithms have been proposed. In this work we are...
Eva Gómez-Ballester, Luisa Micó, Jos...
ICPR
2008
IEEE
14 years 5 months ago
Fast and regularized local metric for query-based operations
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
Frank P. Ferrie, Karim T. Abou-Moustafa