基于疯狂捕猎秃鹰算法的K均值互补迭代聚类优化

黄鹤,温夏露,杨澜,王会峰,高涛,茹锋

K-means complementary iterative clustering optimization based on crazy-hunting bald eagle search algorithm

He HUANG,Xia-lu WEN,Lan YANG,Hui-feng WANG,Tao GAO,Feng RU

表 5 各算法对4个数据集的评价指标

Tab.5 Evaluation indicators of each algorithm for four data sets

数据集 算法 ACC/% rand_index/% ARI/% Aggregation KMC 90.86 92.50 76.32 IMFO-KMC 90.99 91.28 72.31 TSO-KMC 90.99 91.28 72.31 BES-KMC 90.36 93.13 78.43 SSA-KMC 87.94 92.45 76.20 DHSSA-KMC 90.36 93.74 82.71 DBSCAN 69.80 91.74 63.79 FCM 79.18 92.73 72.43 本研究算法 91.11 94.43 80.61 Iris KMC 90.00 77.24 40.88 IMFO-KMC 90.67 77.67 42.00 TSO-KMC 90.37 77.34 41.11 BES-KMC 91.33 80.63 52.86 SSA-KMC 90.33 80.30 51.72 DHSSA-KMC 91.20 80.44 52.68 DBSCAN 89.33 77.97 43.02 FCM 68.00 77.66 46.38 本研究算法 92.67 81.61 53.11 Cancer KMC 96.78 85.72 71.72 IMFO-KMC 95.22 85.82 71.93 TSO-KMC 95.90 82.12 65.00 BES-KMC 96.49 85.36 71.01 SSA-KMC 96.34 85.13 70.54 DHSSA-KMC 96.63 85.58 71.44 DBSCAN 94.06 82.39 62.65 FCM 75.26 63.67 53.63 本研究算法 96.90 85.32 71.96 Vowel KMC 59.70 80.47 34.56 IMFO-KMC 60.05 81.58 33.93 TSO-KMC 62.34 81.97 31.89 BES-KMC 57.75 78.24 30.29 SSA-KMC 55.68 77.78 28.64 DHSSA-KMC 56.95 78.20 29.63 DBSCAN 58.44 80.16 32.26 FCM 56.75 72.87 30.11 本研究算法 60.28 82.23 35.60