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Fast k-nearest neighbor classification using cluster-based trees - Pattern Analysis and Machine Intelligence, IEEE Transactions on
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Document Date: 2010-03-22 15:13:35

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City

Amherst / Dissimilarity Measure Gradient / /

Company

J. Imaging Systems / /

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USD / /

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Facility

The State University of New York / P Building / Digital Library / National Institute / /

IndustryTerm

cluster tree algorithm / search downward / complicated binarization algorithm / cluster-based tree algorithm / condensation tree algorithm / proposed cluster tree algorithm / template reorganization algorithms / long search time / search fall / condensation-based tree algorithm / tree algorithm / proposed fast algorithm / exhaustive search / bound algorithm / search efficiency / /

OperatingSystem

SunOS / /

Organization

UCLA / Los Angeles / School of Medicine / US Department of Justice / State University of New York at Buffalo / National Institute of Justice / Department of Computer Science and Engineering / Pattern Analysis and Machine Intelligence / IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE / /

ProvinceOrState

New York / California / /

PublishedMedium

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE / /

Technology

proposed cluster tree algorithm / template reorganization algorithms / proposed algorithm / cluster-based tree algorithm / cluster tree algorithm / complicated binarization algorithm / cluster-based algorithm / condensation / condensation-based tree algorithm / tree algorithm / Image Processing / condensation tree algorithm / /

URL

www.computer.org/publications/dlib / /

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