本文整理汇总了Python中sklearn.cluster.KMeans.__init__方法的典型用法代码示例。如果您正苦于以下问题：Python KMeans.__init__方法的具体用法？Python KMeans.__init__怎么用？Python KMeans.__init__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.cluster.KMeans的用法示例。
在下文中一共展示了KMeans.__init__方法的2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: __init__
# 需要导入模块: from sklearn.cluster import KMeans [as 别名]
# 或者: from sklearn.cluster.KMeans import __init__ [as 别名]
def __init__(self, n_clusters=8, **kwargs):
"""
Initialize and inherits from Scikit-Learn's KMeans class.
Currently only takes in
Parameters
----------
n_clusters: int, number of clusters to use. Equivalent to n_clusters for
KMeans.
**kwargs: other acceptable arguments to KMeans.
"""
KMeans.__init__(self, n_clusters=n_clusters, **kwargs)
# A list of input data files from which data was read and stored
self.source_files = []
# Initialize indices and coordinates (lon, lat) in 3D and 2D formats
self.ind = None
self.ind2d = None
self.coords = None
self.coords2d = None
# Initialize the mask that indicates null values
# Note that True in the mask indicates null values/values out of domain
self.mask = None
# Initialize data in 3D and 2D formats
self.raw_data = None
self.data2d = None示例2: __init__
# 需要导入模块: from sklearn.cluster import KMeans [as 别名]
# 或者: from sklearn.cluster.KMeans import __init__ [as 别名]
def __init__(self, dataset, labels=None, inertia=0.):
KMeans.__init__(self)
self.cluster_centers_ = dataset
self.n_clusters = dataset.shape[0]
if labels is None:
self.labels_ = numpy.arange(dataset.shape[0]).astype(numpy.int32)
else:
self.labels_ = labels
self.inertia_ = inertia