code: def load_data():
      data, target = datasets.load_breast_cancer(return_X_y=True)
  
      scaler = preprocessing.MinMaxScaler()
      data = scaler.fit_transform(data)
  
      return data, target
  
file_path: neupy/examples/competitive/sofm_heatmap_visualization.py
imports: import argparse
  import numpy
  import matplotlib.pyplot
  from sklearn import datasets, preprocessing
  from neupy import algorithms, utils
  from utils import iter_neighbours
label_desc: Use image node_id 1 for calling a global function with example usage: load_data() and returns: data,  target