kmeans Update 1.0

- Exported some functions in seperate libaries
- Finished the algorithm, added calcCusters function
- Optimized code

src/algorithms/dmlib.py

@@ -0,0 +1,22 @@
+# Calculate the difference between two points giving the indexes of these data entries
+def calcdiff(point1, point2, data):
+	if int(point2) > int(point1):
+		difference = int(point2) - int(point1)
+	else:
+		difference = int(point1) - int(point2)
+	# print("Datapoint: " + str(data[point1]) + " | Cluster: " + str(data[point2]) + " | Difference: " + str(difference))
+	return betrag(difference)
+
+# Get the absolute value of a number and returns it as int
+def betrag(number):
+	if number < 0:
+		number = int((-2 * number) / 2)
+	return number
+
+# Determine the highest int value in an array and returns is as an int
+def findHighest(data):
+	maximum = 0
+	for i in range(0, len(data)):
+		if int(data[i]) > maximum:
+			maximum = int(data[i])
+	return maximum