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","."]
code: def __init__(self, features, records_data):
      super(SlowEuclideanDistance, self).__init__(
          features, records_data
      )
      self.matrix = self.matrix
  
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 1 to create a new SlowEuclideanDistance object from inherited base classes: MatrixMetricSearch with example: obj = SlowEuclideanDistance(features, records_data)