Air Quality Index Prediction using K-Nearest Neighbor Technique
نویسنده
چکیده
One of the classical data mining techniques is k-nearest neighbor. This method uses the class of the k nearest neighbor to classify a new instance. The distance is calculated with one of the multiple mathematical distance metrics. In this paper, the technique is used in the air quality forecast domain in order to predict the value of the air quality index. This index is used to categorize the pollution level and to inform the population about some possible episodes of pollution.
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