本文整理汇总了Python中sklearn.mixture.GaussianMixture.fit_predict方法的典型用法代码示例。如果您正苦于以下问题：Python GaussianMixture.fit_predict方法的具体用法？Python GaussianMixture.fit_predict怎么用？Python GaussianMixture.fit_predict使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.mixture.GaussianMixture的用法示例。
在下文中一共展示了GaussianMixture.fit_predict方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: GaussianMixture
# 需要导入模块: from sklearn.mixture import GaussianMixture [as 别名]
# 或者: from sklearn.mixture.GaussianMixture import fit_predict [as 别名]
def GaussianMixture(V, **kwargs):
"""Performs clustering on *V* by using Gaussian mixture models. The function uses :func:`sklearn.micture.GaussianMixture`. See sklearn documents
for details.
:arg V: row-normalized eigenvectors for the purpose of clustering.
:type V: :class:`numpy.ndarray`
:arg n_clusters: specifies the number of clusters.
:type n_clusters: int
"""
try:
from sklearn.mixture import GaussianMixture
except ImportError:
raise ImportError('Use of this function (GaussianMixture) requires the '
'installation of sklearn.')
n_components = kwargs.pop('n_components', None)
if n_components == None:
n_components = kwargs.pop('n_clusters',None)
if n_components == None:
n_components = 1
n_init = kwargs.pop('n_init', 1)
mixture = GaussianMixture(n_init=n_init, n_components=n_components, **kwargs).fit(V)
return mixture.fit_predict(V)