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- 链接标题：PythonNote030---sklearn近邻api使用_python中self.nn_k_.kneighbors(x_class, return_dista-CSDN博客
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文章浏览阅读132次。Intro 近邻相关计算的api，底层用了kdtree，速度更快。简单整理总结下，备查。Case1import numpy as npimport pandas as pd from sklearn.neighbors import NearestNeighbors samples = [[0., 0., 0.], [0., .5, 0.], [1., 1., .5], [2, 0, 0], [2, 1, 0]]df = pd.DataFrame(np.array(samples), co_python中self.nn_k_.kneighbors(x_class, return_distance=false)[:, 1:]
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