python实点云分割k-means(sklearn)详解

python实点云分割实点云分割k-means(sklearn)详解详解

主要为大家详细介绍了Python实点云分割k-means，文中示例代码介绍的非常详细，具有一定的参考价值，感

兴趣的小伙伴们可以参考一下

本文实例为大家分享了Python实点云分割k-means（sklearn），供大家参考，具体内容如下

植物叶片分割

import numpy as np

import matplotlib.pyplot as plt

import pandas as pd

transfer = StandardScaler()

data_new = transfer.fit_transform(data1)

data_new

#预估计流程

estimator = KMeans(n_clusters = 10)

estimator.fit(data_new)

y_pred = estimator.predict(data_new)

#也可以不预测

#cluster = KMeans(n_clusters = 9).fit(data_new)

#y_pred = cluster.labels_s

ax.scatter3D(data_new[y_pred == i,0],data_new[y_pred == i,1],data_new[y_pred == i,2],marker = ".")

ax.view_init(elev = 60,azim = 30)