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In the era of the Internet of Things, all components in intelligent transportation systems will be connected to improve transport safety, relieve traffic congestion, reduce air pollution, and enhance the comfort of driving. The vision of all vehicles connected poses a significant challenge to the collection and storage of large amounts of traffic-related data. In this article, we propose to integrate...
This paper realizes the K-Means clustering algorithm in the cloud computing. the MapReduce programming ideas are applied to text clustering in hadoop platform, and improve text clustering processing speed on the basis of ensuring the accuracy of clustering. Experiments prove that the cloud computing can significantly improve the clustering algorithm processing speed.
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