Fast Algorithms for Nearest Neighbour Search
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Fast Algorithms for Nearest Neighbour Search
Summary
Fast Algorithms for Nearest Neighbour Search is a master's thesis[1].
Key Facts
- Fast Algorithms for Nearest Neighbour Search's instance of is recorded as master's thesis[2].
- Fast Algorithms for Nearest Neighbour Search was published by Waikato Research Commons[3].
- Fast Algorithms for Nearest Neighbour Search's place of publication is recorded as Hamilton[4].
- Fast Algorithms for Nearest Neighbour Search's language of work or name is recorded as English[5].
- Fast Algorithms for Nearest Neighbour Search's country of origin is recorded as New Zealand[6].
- Fast Algorithms for Nearest Neighbour Search was released on 2007[7].
- Fast Algorithms for Nearest Neighbour Search's main subject is nearest neighbor search[8].
- Fast Algorithms for Nearest Neighbour Search's main subject is nearest neighbor graph[9].
- Fast Algorithms for Nearest Neighbour Search's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/2463[10].
- Fast Algorithms for Nearest Neighbour Search's title is recorded as Fast Algorithms for Nearest Neighbour Search[11].
- Fast Algorithms for Nearest Neighbour Search's author name string is recorded as Ashraf Masood Kibriya[12].
- Fast Algorithms for Nearest Neighbour Search's thesis submitted to is recorded as University of Waikato[13].
- Fast Algorithms for Nearest Neighbour Search's on focus list of Wikimedia project is recorded as NZThesisProject[14].
- Fast Algorithms for Nearest Neighbour Search's copyright status is recorded as copyrighted[15].
- Fast Algorithms for Nearest Neighbour Search's online access status is recorded as open access[16].
- Fast Algorithms for Nearest Neighbour Search's thesis submitted for degree is recorded as Master of Science[17].
Body
Designation and Status
Fast Algorithms for Nearest Neighbour Search's instance of is recorded as master's thesis[2].