start point of silhouette

DBSCAN_Main.py

@@ -4,6 +4,7 @@
 
 from sklearn.cluster import DBSCAN
 from MyDBSCAN import CMyDBSCAN
+from silhouette import calculateSilhouetteValue
 
 
 """
@@ -106,7 +107,7 @@
 
 
 
-testArray = vectorsArray[0:100000]
+testArray = vectorsArray[0:10000]
 #====== Sklearn =================
 #the sklearn clustering takes 120 seconds to accomplish
 #return an array where each index is the vector(point) and value is it clustering

silhouette.py

@@ -0,0 +1,37 @@
+import numpy as  np
+import math
+import time
+
+
+"""
+t = time.time()
+elapsed = time.time() - t
+print("creating graph time: ",elapsed)
+"""
+
+clustersDictionary = dict()
+arrayValueA = np.zeros()
+arrayValueB = np.zeros()
+
+def calculateSilhouetteValue(dataset, clusters):
+    x=0
+
+
+def createClustersDictionary(clusters):
+    x=0
+
+def calculateValueA(cluster):
+    x=0
+
+def calculateValueB(cluster):
+    x=0
+
+def calculateAvgSilhouete():
+    x=0
+
+
+def dist(A):
+    m, n = A.shape
+    B = A @ A.T
+    D = np.diag(B).reshape([1, m])
+    return (D.T + D - 2 * B)**0.5