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提出一种改进的KNN算法,该算法最大的优点是不需要K值,同时具有较好的分类性能。自编程序设计了改进的算法,并将其用于煤样所属煤种的快速分类。通过实验预测了煤样所属煤种。结果表明与经典KNN算法相比,改进的算法实现简单,分类准确率高,适用于煤种的快速分类。
An improved KNN algorithm is proposed. The biggest advantage of this algorithm is that it does not need K value and has better classification performance. The self-programmed program designed an improved algorithm and applied it to the rapid classification of coal samples belonging to coal samples. Through experiments, it predicts the coal type coal belongs to. The results show that compared with the classical KNN algorithm, the improved algorithm has the advantages of simple implementation, high accuracy of classification and is suitable for rapid classification of coal species.