Scikit learn K模式整群抽样
我想在对我的数据集应用k模式后对集群进行采样。到目前为止，我已经构建了以下代码：Scikit learn K模式整群抽样,scikit-learn,cluster-analysis,k-means,sampling,Scikit Learn,Cluster Analysis,K Means,Sampling,我想在对我的数据集应用k模式后对集群进行采样。到目前为止，我已经构建了以下代码： import numpy as np from kmodes import kmodes X = df[cols].astype(str) km = kmodes.KModes(n_clusters=10) clusters = km.fit_predict(X) df['clusters'] = clusters 现在，我想根据每个星团离星团_质心的最近程度，对每个星团的观测结果进行抽样。我该怎
import numpy as np
from kmodes import kmodes
X = df[cols].astype(str)
km = kmodes.KModes(n_clusters=10)
clusters = km.fit_predict(X)
df['clusters'] = clusters