sklearn.cluster.KMeans 报错 ValueError: n_samples=1 should be >= n_clusters=10
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from sklearn.cluster import KMeansk_center_num = 10yc = [1,2,34,6,8,9,0,5,43,9,3123,5432,6823,0,312]kcl = KMeans(n_clusters = k_center_num)cl_obj = kcl.fit(yc)# ErrorValueError: n_samples=1 should be >= n_clusters=10是因为 一个 list 会被认为是一个 sample。所以，每一个元素都被转化成一个 list。
from sklearn.cluster import KMeansk_center_num = 10yc = [1,2,34,6,8,9,0,5,43,9,3123,5432,6823,0,312]yc = [[i] for i in yc] # 把每个样本变成一个单独的‘向量’就可以了。kcl = KMeans(n_clusters = k_center_num)cl_obj = kcl.fit(yc)阅读全文
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