Updated code template for kmeans

src/algorithms/kmeansMkI.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 #title:				kmeansMkI.py
-#description:		Our personal Python K-Means implementation
+#description:		Our personal Python K-Means++ implementation
 #author:			Tillmann Brendel, Conrad Großer
 #date:				26.05.2018
 #version:			0.1
@@ -10,5 +10,35 @@
 #python_version:	3.x
 #==============================================================================
 
+# IMPORTS
+
+# Importing the time for benchmarking purposes
+import time
+from datetime import date
+
+# Importing libary for multi core processing
+import multiprocessing
+
+# CODE
+# Main function of the algorithm
+def kmeansmk1(clusters):
+	print("Sorting data into " + str(clusters) + " clusters.")
+
+# Startup function for collecting necesarry data
 def startup():
-	print("Hello World")
+	clusters = int(input("How many clusters are known? "))
+	# cores = input("How many cores should be used? ")
+	# path = input("Where is the data? ")
+
+	# For benchmarking starting the timer now
+	start_time = time.time()
+
+	# Firing up the engines!
+	kmeansmk1(clusters)
+	# kmeansmk1(clusters, cores, path)
+
+	# Stopping benchmark
+	seconds = time.time() - start_time
+	print(str(seconds) + " seconds for execution")
+
+startup()