小编Dee*_*gde的帖子

我有一个相当大的数据集（1841000*32 矩阵），我希望运行分层聚类算法。sklearn.cluster 中的 AgglomerativeClustering 类和 FeatureAgglomeration 类均给出以下错误。

    ---------------------------------------------------------------------------
    MemoryError                               Traceback (most recent call last)
    <ipython-input-10-85ab7b694cf1> in <module>()
  1 
  2 
    ----> 3 mat_red = manifold.SpectralEmbedding(n_components=2).fit_transform(mat)
  4 clustering.fit(mat_red,y = None)

 ~/anaconda3/lib/python3.6/site-packages/sklearn/manifold/spectral_embedding_.py in fit_transform(self, X, y)
525         X_new : array-like, shape (n_samples, n_components)
526         """
--> 527         self.fit(X)
528         return self.embedding_

  ~/anaconda3/lib/python3.6/site-packages/sklearn/manifold/spectral_embedding_.py in fit(self, X, y)
498                               "name or a callable. Got: %s") % self.affinity)
499 
--> 500         affinity_matrix = self._get_affinity_matrix(X)
501         self.embedding_ = spectral_embedding(affinity_matrix,
502   n_components=self.n_components,

~/anaconda3/lib/python3.6/site-packages/sklearn/manifold/spectral_embedding_.py in _get_affinity_matrix(self, X, Y)
450 …