2002
DOI: 10.1007/3-540-36285-1_29
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Nearest Neighbors Can Be Found Efficiently If the Dimension Is Small Relative to the Input Size

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Cited by 9 publications
(2 citation statements)
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“…Since the introduction of Voronoi diagrams, different variations of these diagrams have been theoretically studied in the field of Computational Geometry. Many research works in the database community have also employed the underlying concept or the actual variations of Voronoi diagrams to address spatial queries in both vector spaces and the metric space pertaining to spatial network databases (Hagedoorn 2003;Korn and Muthukrishnan 2000;Sharifzadeh and Shahabi 2006a, b;Stanoi et al 2001;Zhang et al 2003).…”
Section: Historical Backgroundmentioning
confidence: 99%
“…Since the introduction of Voronoi diagrams, different variations of these diagrams have been theoretically studied in the field of Computational Geometry. Many research works in the database community have also employed the underlying concept or the actual variations of Voronoi diagrams to address spatial queries in both vector spaces and the metric space pertaining to spatial network databases (Hagedoorn 2003;Korn and Muthukrishnan 2000;Sharifzadeh and Shahabi 2006a, b;Stanoi et al 2001;Zhang et al 2003).…”
Section: Historical Backgroundmentioning
confidence: 99%
“…Since the introduction of Voronoi diagrams, different variations of these diagrams have been theoretically studied in the field of Computational Geometry. Many research works in the database community have also employed the underlying concept or the actual variations of Voronoi diagrams to address spatial queries in both vector spaces and the metric space pertaining to spatial network databases (Hagedoorn 2003;Korn and Muthukrishnan 2000;Sharifzadeh and Shahabi 2006a, b;Stanoi et al 2001;Zhang et al 2003).…”
Section: Historical Backgroundmentioning
confidence: 99%