基于k-Means的大数据集分区

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI:10.1109/MICAI.2013.13

Carlos Martínez, J. Mosterín, D. Fuente, P. Priore, N. García

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引用次数: 0

摘要

本文采用k-均值聚类算法对大量的地理位置数据进行分区。结果以图形方式绘制并且令人满意，因此我们得出结论，无论数据大小如何，至少对于低数据维度(纬度，经度)，该算法都是有用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Zoning by k-Means over a Large Data Set

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).

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2013 12th Mexican International Conference on Artificial Intelligence

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