class_docstr: A matrix that implements euclidean distance search against it.
  WARNING: This is not optimized.
class_docstr_tok: ["A","matrix","that","implements","euclidean","distance","search","against","it",".","WARNING",":","This","is","not","optimized","."]
docstr: Euclidean distance
code: def _distance(self, a_matrix):
      """Euclidean distance"""
  
      return _spatial_distance.cdist(a_matrix, self.matrix, "euclidean")
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import abc
  import numpy
  import scipy.sparse
  import scipy.spatial.distance
label_desc: Use image node_id 5 for calling the SlowEuclideanDistance obj's underlying member method code with example usage: obj._distance(a_matrix) and returns: _spatial_distance