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A Fast Algorithm for k-Nearest Neighbor Problem on a Reconfigurable Mesh Computer

Given a set S of m points stored on a reconfigurable mesh computer of size n×n, one point per processing element (PE). In this paper we present a parallel method for solving the k-Nearest Neighbor problem (k-NN). This method permits each point of S to know its k-NN (0

Journal Title: Journal of intelligent & robotic systems 2001, Vol.32 (3), p.347-360
Main Author: Bouattane, O
Other Authors: Elmesbahi, J , Khaldoun, M , Rami, A
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Dordrecht: Springer Nature B.V
ID: ISSN: 0921-0296
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title: A Fast Algorithm for k-Nearest Neighbor Problem on a Reconfigurable Mesh Computer
format: Article
creator:
  • Bouattane, O
  • Elmesbahi, J
  • Khaldoun, M
  • Rami, A
subjects:
  • Algorithms
  • Complexity
  • Mathematical models
  • Polyethylenes
  • Processors
  • Reconfiguration
  • Registers
  • Stores
ispartof: Journal of intelligent & robotic systems, 2001, Vol.32 (3), p.347-360
description: Given a set S of m points stored on a reconfigurable mesh computer of size n×n, one point per processing element (PE). In this paper we present a parallel method for solving the k-Nearest Neighbor problem (k-NN). This method permits each point of S to know its k-NN (0
language: eng
source:
identifier: ISSN: 0921-0296
fulltext: no_fulltext
issn:
  • 0921-0296
  • 1573-0409
url: Link


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titleA Fast Algorithm for k-Nearest Neighbor Problem on a Reconfigurable Mesh Computer
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descriptionGiven a set S of m points stored on a reconfigurable mesh computer of size n×n, one point per processing element (PE). In this paper we present a parallel method for solving the k-Nearest Neighbor problem (k-NN). This method permits each point of S to know its k-NN (0
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subjectAlgorithms ; Complexity ; Mathematical models ; Polyethylenes ; Processors ; Reconfiguration ; Registers ; Stores
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atitleA Fast Algorithm for k-Nearest Neighbor Problem on a Reconfigurable Mesh Computer
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issn0921-0296
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abstractGiven a set S of m points stored on a reconfigurable mesh computer of size n×n, one point per processing element (PE). In this paper we present a parallel method for solving the k-Nearest Neighbor problem (k-NN). This method permits each point of S to know its k-NN (0
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pubSpringer Nature B.V
doi10.1023/A:1013920332390