Computing Medoids in Large Spatial Datasets

Computing Medoids in Large Spatial Datasets

In this chapter, we consider a class of queries that arise in spatial decision making and resource allocation applications. Assume that a company wants to open a number of warehouses in a city. Let P be the set of residential blocks in the city. P represents customer locations to be potentially serv...

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Bibliographic Details
Main Authors: MOURATIDIS, Kyriakos, PAPADIAS, Dimitris, PAPADIMITRIOU, Spiros
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
Subjects:
Distance
Artificial Intelligence
Physical Geography
Databases and Information Systems
Geography
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/247
https://ink.library.smu.edu.sg/context/sis_research/article/1246/viewcontent/Computing_Medoids_in_Large_Spatial_Dataset_2009.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/247
https://ink.library.smu.edu.sg/context/sis_research/article/1246/viewcontent/Computing_Medoids_in_Large_Spatial_Dataset_2009.pdf

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