commit-live-students · swapnilrt · Nov 6, 2017 · Nov 13, 2017
diff --git a/__init__.pyc b/__init__.pyc
diff --git a/q01_k_means/__init__.pyc b/q01_k_means/__init__.pyc
diff --git a/q01_k_means/build.py b/q01_k_means/build.py
@@ -10,7 +10,7 @@
 y_train = digits.target
 
 # Write your solution here :
-
-
-
-
+def k_means(X_train, y_train, cluster=10, random_state=9):
+    km=KMeans(init="random", n_clusters=10).fit(X_train)
+    plt.scatter(y_train, X_train[:,0,0], c=km, s=50)
+    plt.show()
diff --git a/q01_k_means/build.pyc b/q01_k_means/build.pyc
diff --git a/q01_k_means/tests/__init__.pyc b/q01_k_means/tests/__init__.pyc
diff --git a/q01_k_means/tests/test_q01_k_means.pyc b/q01_k_means/tests/test_q01_k_means.pyc
diff --git a/q02_hierarchy_clustering/__init__.pyc b/q02_hierarchy_clustering/__init__.pyc
diff --git a/q02_hierarchy_clustering/build.py b/q02_hierarchy_clustering/build.py
@@ -10,3 +10,17 @@
 df = pd.DataFrame(scale(digits.data), index=digits.target)
 
 # Write your solution here :
+# Write your solution here f
+def hierarchy_clustering(X):
+    Z=linkage(X,'average')
+    Z[80]
+    plt.figure(figsize=(25,10))
+    plt.title('Hierarchial Clustering')
+    plt.xlabel('sample index')
+    plt.ylabel('distance')
+    dendrogram(
+    df,
+    leaf_rotation=90.,
+    leaf_font_size=8.,
+    )
+    return plt.show()
diff --git a/q02_hierarchy_clustering/build.pyc b/q02_hierarchy_clustering/build.pyc
diff --git a/q02_hierarchy_clustering/tests/__init__.pyc b/q02_hierarchy_clustering/tests/__init__.pyc
diff --git a/q02_hierarchy_clustering/tests/test_q02_hierarchy_clustering.pyc b/q02_hierarchy_clustering/tests/test_q02_hierarchy_clustering.pyc