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。 我阅读了包含要聚类的文本的 csv,并在n聚类值上运行K-Means。
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....
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 ...
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Figure 4-a shows these metrics score versus the number of clusters due to K-means application to ESP experimental data. Facing these metrics scores, it is reasonable to consider clustering the data in 2 generated clusters due to the highest values of the rand index and silhouette coefficient. ...
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 ...
python cmake cuml _thirdparty benchmark cluster comm common compose dask datasets decomposition ensemble experimental explainer feature_extraction fil internals kernel_ridge linear_model manifold metrics cluster CMakeLists.txt __init__.py adjusted_rand_index.pyx completeness_score.pyx entropy.pyx homogenei...