- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 1 of 1 (0.125 seconds)Spelling suggestions: "subject:"1classification. distances."" "subject:"1classification. istances.""
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Nearest neighbor classification using a density sensitive distance measurement [electronic resource] /Burkholder, Joshua Jeremy. January 2009 (has links) (PDF)
Thesis (M.S. in Modeling, Virtual Environments, And Simulations (MOVES))--Naval Postgraduate School, September 2009. / Thesis Advisor(s): Squire, Kevin. "September 2009." Description based on title screen as viewed on November 03, 2009. Author(s) subject terms: Classification, Supervised Learning, k-Nearest Neighbor Classification, Euclidean Distance, Mahalanobis Distance, Density Sensitive Distance, Parzen Windows, Manifold Parzen Windows, Kernel Density Estimation Includes bibliographical references (p. 99-100). Also available in print.
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