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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Co-clustering in Spark
This noteboo attempts to execute in Spark the co-clustering algorithm presented in co_clustering_R which is the implementation of Bregman block average co-clustering algorithm (Banerjee et al., 2007) and it is inpired in the single node impementation, Copyright (c) 2016 Felipe Yanez.
Next to the Python code the user will see the R code in Markdown format.
Dependencies
Step1:  Connect to Spark
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Python Code:
#Add all dependencies to PYTHON_PATH
import sys
sys.path.append("/usr/lib/spark/python")
sys.path.append("/usr/lib/spark/python/lib/py4j-0.10.4-src.zip")
sys.path.append("/usr/lib/python3/dist-packages")
#Define environment variables
import os
os.environ["HADOOP_CONF_DIR"] = "/etc/hadoop/conf"
os.environ["PYSPARK_PYTHON"] = "python3"
os.environ["PYSPARK_DRIVER_PYTHON"] = "ipython"
#Load PySpark to connect to a Spark cluster
from pyspark import SparkConf, SparkContext
#from osgeo import gdal
#To read GeoTiffs as a ByteArray
from io import BytesIO
from rasterio.io import MemoryFile
Explanation: Co-clustering in Spark
This noteboo attempts to execute in Spark the co-clustering algorithm presented in co_clustering_R which is the implementation of Bregman block average co-clustering algorithm (Banerjee et al., 2007) and it is inpired in the single node impementation, Copyright (c) 2016 Felipe Yanez.
Next to the Python code the user will see the R code in Markdown format.
Dependencies
End of explanation
appName = "co_clustering"
masterURL="spark://pheno0.phenovari-utwente.surf-hosted.nl:7077"
#A context needs to be created if it does not already exist
try:
    sc.stop()
except NameError:
    print("A  new Spark Context will be created.")
    
sc = SparkContext(conf = SparkConf().setAppName(appName).setMaster(masterURL))
Explanation: Connect to Spark
End of explanation
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