使用 silhouette_score 时,有效值为 2 到 n_samples - 1(含) 我正在尝试计算silhouette score因为我找到了要创建的最佳簇数,但收到一条错误消息: ValueError: Number of labels is 1. Valid values are 2 to n_samples - 1 (inclusive) 我无法理解这样做的原因。这是我用来聚类和计算silhouette score的代码...
在python中,聚类完成后,可以用轮廓系数衡量聚类结果好坏,相应的模块是silhouette_score。( ) A.对 B.错 你可能感兴趣的试题 单项选择题 有以下程序 #include void main() { int i=0,x=0,s; for (;;) { if(i==3||i==5) continue; if (i==6) break; i++; s+=i; }; printf("%d",s);...
使用silhouette_score时，有效值为2到n_samples -1(包括在内)。EN下面我们会介绍https://www.twitch....
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Code Issues Pull requests Optimize clustering labels using Silhouette Score. machine-learning clustering kmeans silhouette clustering-evaluation hdbscan meanshift clustering-analysis Updated Aug 19, 2021 Python gvolpe / social-graph-api Star 13 Code Issues Pull requests Authentication & Social Graph ...
The Adjusted Rand score is introduced to determine whether two cluster results are similar to each other. In the formula, the “RI” stands for the rand index, which calculates a similarity between two cluster results by taking all points identified within the same cluster. This value is equal...
km2 = KMeans(n_clusters=1) km2.fit(X,y) silhouette_score(X, km2.labels_, metric='euclidean') ValueError: Number of labels is 1. Valid values are 2 to n_samples - 1 (inclusive) 原文由seralouk发布,翻译遵循 CC BY-SA 4.0 许可协议 ...
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