code: def process_birch(sample):
      instance = birch(sample, NUMBER_CLUSTERS)
      (ticks, _) = timedcall(instance.process)
      return ticks
  
imports: from random import random, randint
  from math import floor
  import matplotlib.pyplot
  from pyclustering.nnet import initial_type
  from pyclustering.cluster.agglomerative import agglomerative
  from pyclustering.cluster.birch import birch
  from pyclustering.cluster.clarans import clarans
  from pyclustering.cluster.cure import cure
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.cluster.hsyncnet import hsyncnet
  from pyclustering.cluster.kmeans import kmeans
  from pyclustering.cluster.kmedians import kmedians
  from pyclustering.cluster.kmedoids import kmedoids
  from pyclustering.cluster.optics import optics
  from pyclustering.cluster.rock import rock
  from pyclustering.cluster.syncnet import syncnet
  from pyclustering.cluster.syncsom import syncsom
  from pyclustering.cluster.xmeans import xmeans
  from pyclustering.utils import timedcall
label_desc: Use image node_id 3 for calling a global function with example usage: process_birch(sample) and returns: ticks