sklearn 中 make_blobs模块使用

雨点打透心脏的1/2处 2023-08-17 16:52 67阅读 0赞

#  #

sklearn.datasets.make\_blobs(n\_samples=100, n\_features=2, centers=3, cluster\_std=1.0, center\_box=(-10.0, 10.0), shuffle=True, random\_state=None)

属性含义：

**n\_samples**: int, optional (default=100)  
The total number of points equally divided among clusters.  
待生成的样本的总数。  
**n\_features**: int, optional (default=2)  
The number of features for each sample.  
每个样本的特征数。  
**centers**: int or array of shape \[n\_centers, n\_features\], optional (default=3)  
The number of centers to generate, or the fixed center locations.  
要生成的样本中心（类别）数，或者是确定的中心点。  
**cluster\_std**: float or sequence of floats, optional (default=1.0)  
The standard deviation of the clusters.  
每个类别的方差，例如我们希望生成2类数据，其中一类比另一类具有更大的方差，可以将cluster\_std设置为\[1.0,3.0\]。  
**center\_box**: pair of floats (min, max), optional (default=(-10.0, 10.0))  
The bounding box for each cluster center when centers are generated at random.  
**shuffle**: boolean, optional (default=True)  
Shuffle the samples.  
**random\_state**: int, RandomState instance or None, optional (default=None)  
If int, random\_state is the seed used by the random number generator; If RandomState instance, random\_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random.

# 返回值 #

X : array of shape \[n\_samples, n\_features\]  
The generated samples.  
生成的样本数据集。  
y : array of shape \[n\_samples\]  
The integer labels for cluster membership of each sample.  
样本数据集的标签。

![复制代码][copycode.gif]

from sklearn.datasets import make_blobs
    import matplotlib.pyplot as plt
    
    if __name__ == '__main__':
        N = 400
        centers = 4
        data, y = make_blobs(n_samples=N, n_features=2, centers=centers)
    
        plt.scatter(data[:, 0], data[:, 1], c=y)
        plt.show()

![复制代码][copycode.gif]

![1218402-20171209153912339-2013239830.png][]

转载于:https://www.cnblogs.com/lvdongjie/p/11399970.html

[copycode.gif]: /images/20230809/4bde6ce797484f68a21d20761c5cec99.png
[1218402-20171209153912339-2013239830.png]: /images/20230809/3bd373622421442bbdbaf8a7aedf2e27.png