The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data (2000)

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by Andrew W. Moore
Venue:In Twelfth Conference on Uncertainty in Artificial Intelligence
Citations:75 - 8 self

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1 Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources – Andrew Moore, Jeff Schneider, Brigham Anderson Brighamcs. Cmu. Edu, Paul Komarek Komarekcs. Cmu. Edu, Remi Munos Munoscs. Clm. Edu, Kary Myers Karycs. Cmu. Edu, Dan Pelleg Dpellegcs. Cmu. Edu - 2000
90 `N-Body' Problems in Statistical Learning – Alexander G. Gray, Andrew W. Moore - 2001
4 Summary of biosurveillance-relevant technologies – Andrew Moore, Greg Cooper, Rich Tsui, Mike Wagner - 2003
Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources – Remi Munos, Kary Myers, Dan Pelleg, et al. - 1999
2 Fast algorithms for nearest neighbour search – Ashraf Masood Kibriya - 2007
A Fast K-Means Algorithm – Eena Gilhotra, Priyanka Trikha
89 Very Fast EM-based Mixture Model Clustering Using Multiresolution kd-trees – Andrew Moore - 1998
A Dynamic Adaptation of AD-trees for Efficient Machine Learning – On Large Data, Paul Komarek - 2000
15 A dynamic adaptation of AD-trees for efficient machine learning on large data sets – Paul Komarek, Andrew Moore - 2000
Product Trees for Gaussian Process Covariance in Sublinear Time – David A. Moore, Stuart Russell
79 Efficient Locally Weighted Polynomial Regression Predictions – Andrew W. Moore, Jeff Schneider, Kan Deng
95 IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms – Walter Daelemans, Antal van den Bosch, Ton Weijters - 1997
5 Speeding up Relief algorithms with k-d trees – Marko Robnik Sikonja - 1998
c ○ 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. Theoretical and Empirical Analysis – Of Relieff, Igor Kononenko
2 Efficient Learning and Feature Selection in High-Dimensional Regression – Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal - 2010
46 Nonparametric density estimation: toward computational tractability – Alexander G. Gray - 2003
79 An investigation of practical approximate nearest neighbor algorithms – Ting Liu, Andrew W. Moore, Alexander Gray, Ke Yang - 2004
Research Article A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics – Tonny J. Oyana
247 Survey of clustering data mining techniques – Pavel Berkhin - 2002