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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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2009
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| 在線閱讀: | 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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| 機構: | Singapore Management University |
| 語言: | English |
| 總結: | 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 served by the company. At the same time, P also comprises the candidate warehouse locations because the warehouses themselves must be opened in some residential blocks. |
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