基于记忆传递旗鱼优化的K均值混合迭代聚类

黄鹤, 熊武, 吴琨, 王会峰, 茹锋, 王珺

K-means Hybrid Iterative Clustering Based on Memory Transfer Sailfish Optimization

HUANG He, XIONG Wu, WU Kun, WANG Huifeng, RU Feng, WANG Jun

表3 不同算法在4个数据集上的实验结果

Tab.3 Experimental results of different algorithms on 4 data sets

数据集 算法 Acc ARI NMI Iris IMFO-KMC 0.894 3 0.743 7 0.763 6 K-means++ 0.885 2 0.721 8 0.716 3 FCM 0.893 1 0.729 6 0.759 8 MTSFO-HIKMC 0.894 3 0.732 5 0.755 9 Seeds IMFO-KMC 0.895 4 0.716 5 0.703 3 K-means++ 0.892 4 0.712 9 0.693 1 FCM 0.894 3 0.714 6 0.694 2 MTSFO-HIKMC 0.895 2 0.716 6 0.694 9 CMC IMFO-KMC 0.712 3 0.371 2 0.425 5 K-means++ 0.566 3 0.365 1 0.418 1 FCM 0.700 2 0.368 7 0.420 0 MTSFO-HIKMC 0.707 9 0.371 5 0.420 6 Wine IMFO-KMC 0.707 9 0.371 5 0.419 3 K-means++ 0.651 8 0.349 2 0.403 1 FCM 0.696 6 0.360 2 0.405 2 MTSFO-HIKMC 0.709 1 0.361 2 0.410 5