Zoning by k-means over a large data set

被引：2

作者：

Martinez, Carlos ^{[1
]}

Lozano, Jesus ^{[1
]}

de la Fuente, David ^{[1
]}

Priore, Paolo ^{[1
]}

Garcia, Nazario ^{[1
]}

机构：

[1] Univ Oviedo, Gijon, Spain

来源：

2013 12TH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (MICAI 2013) | 2013年

关键词：

component; k-means; zoning;

D O I：

10.1109/MICAI.2013.13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, for zoning a large set of location's data we apply the k-means clustering algorithm. The results were plotted graphically and were satisfactory, so we conclude that the algorithm is useful despite the size of the data, at least for low data dimensions (latitude, longitude).

引用

收藏

页码：65 / 69

页数：5

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