In order to select particular clusters to examine their accuracy, the testing cluster sizes will be 1, 1.5, and 2 times that of the senses.
when examining the accuracy of the four target words in the character similarity clustering analysis, we will select the top 30 clusters, 45 clusters, and 60 clusters of the 100 clusters, 200 clusters and 300 clusters for chi1 "eat", respectively; the top 10 clusters, 15 clusters, and 20 clusters of the 90 clusters, 180 clusters, and 270 clusters for wan2 "play", respectively; the top 6 clusters, 9 clusters, and 12 clusters of the 70 clusters, 140 clusters, and 210 clusters for huan4 "change", respectively; and the top 15 clusters, 23 clusters, and 30 clusters of the 60 clusters, 120 clusters, and 180 clusters of shao1 "burn", respectively.