added two dimensional data analysis support

-added kmeansMkI_2d
-added calcdiff2d to dmlib
-added plzGenNS and ageGenNS  to dmtest to generate unshuffled testdata for kmeans 2d

src/algorithms/dmtest.py

@@ -50,3 +50,33 @@ def numGen(entries, cluster, int_lenght):
 			dataArray.append(generateNumber(int_lenght - 1, clusterArray[cluster_decider]))
 	shuffle(dataArray)
 	return dataArray
+# Simple generator for test plzs (40-40-20 biased), returns 1D array of plzs
+def plzGenNS(entries):
+    dataArray = []
+    plz_lenght = 5
+    for i in range(0, int(entries)):
+        if i < round(entries * 0.4):
+            plz = generateNumber(plz_lenght, 2)
+        elif i >= round(entries * 0.4) and i < round(entries * 0.8):
+            plz = generateNumber(plz_lenght, 6)
+        else:
+            plz = generateNumber(plz_lenght, randint(0, 9))
+        dataArray.append(plz)
+    #i had to remove shuffle for the connectrion (age ==> plz) to work, else we would have 4 clusters
+    # shuffle(dataArray)
+    return dataArray  #
+
+
+def ageGenNS(entries):
+    dataArray = []
+    age_lenght = 2
+    for i in range(0, int(entries)):
+        if i < round(entries * 0.4):
+            age = generateNumber(age_lenght, 2)
+        elif i >= round(entries * 0.4) and i < round(entries * 0.8):
+            age = generateNumber(age_lenght, 5)
+        else:
+            age = generateNumber(age_lenght, randint(0, 9))
+        dataArray.append(age)
+    # shuffle(dataArray)
+    return dataArray