docstr: Method to update information after a epoach
  
  :param first_iteration: if True calculate self.count_total and self.count_ones
  :type first_iteration: bool, default False
docstr_tok: ["Method","to","update","information","after","a","epoach",":","param","first_iteration",":","if","True","calculate","self.count_total","and","self.count_ones",":","type","first_iteration",":","bool",",","default","False"]
code: def update_information(self, first_iteration=False):
      """
      Method to update information after a epoach
  
      :param first_iteration: if True calculate self.count_total and self.count_ones
      :type first_iteration: bool, default False
  
      """
  
      if first_iteration:
          self.count_total = np.matrix(self.count_total).reshape(
              (self.k_row, self.l_col)
          )
          self.count_ones = np.matrix(self.count_ones).reshape(
              (self.k_row, self.l_col)
          )
          self.density = np.matrix(
              np.divide(self.count_ones, self.count_total)
          )
          # self.density = np.matrix(np.divide(self.count_ones, self.count_total)).reshape((self.k_row, self.l_col))
      else:
          self.density = np.matrix(
              np.divide(self.count_ones, self.count_total)
          )
          self.density[self.density < self.density_low] = 0.0
  
file_path: CaseRecommender/caserec/clustering/paco.py
imports: import itertools
  import random
  import numpy
  from scipy.spatial.distance import squareform, pdist
  from sklearn.cluster import KMeans
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 5 for calling the PaCo obj's underlying member method code with example usage: obj.update_information(first_iteration) without return types