国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problem that the density peak clustering algorithm (DPC) clustering result is greatly affected by the distance threshold dc parameter, a method of local density capture range and weighted optimization using the mean value of local density information (abbreviated as For LDDPC), when the DPC algorithm selects the wrong distance threshold dc, by weighting the relative distance of the neighboring points of the maximum density, the correct number of classifications and cluster centers are obtained again. The experimental results of the classic data set show that the weighted optimization based on the mean value of the local density information entropy can avoid the influence of the distance threshold dc in the DPC algorithm on the clustering results, and improve the accuracy of classification.