diff --git a/__init__.pyc b/__init__.pyc
index 6c0d88a..6a03976 100644
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diff --git a/q01_k_means/__init__.pyc b/q01_k_means/__init__.pyc
index bff55bc..e3878dd 100644
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diff --git a/q01_k_means/build.py b/q01_k_means/build.py
index fca565c..1296a65 100644
--- a/q01_k_means/build.py
+++ b/q01_k_means/build.py
@@ -1,4 +1,3 @@
-# Default imports
 from sklearn.cluster import KMeans
 import matplotlib.pyplot as plt
 from sklearn import datasets
@@ -9,7 +8,29 @@
 X_train = digits.images
 y_train = digits.target
 
-# Write your solution here :
+
+def k_means(X_train, y_train, cluster=10, random_state=9):
+    X = X_train.reshape((len(X_train), -1))
+    kmeans = KMeans(n_clusters=cluster, random_state=random_state).fit(X, y_train)
+    a = X_train[(y_train == 0) & (kmeans.labels_ == 0)][0:20]
+    b = X_train[(y_train == 1) & (kmeans.labels_ == 1)][0:20]
+    c = X_train[(y_train == 2) & (kmeans.labels_ == 2)][0:20]
+    d = X_train[(y_train == 3) & (kmeans.labels_ == 3)][0:20]
+    e = X_train[(y_train == 4) & (kmeans.labels_ == 4)][0:20]
+    f = X_train[(y_train == 5) & (kmeans.labels_ == 5)][0:20]
+    g = X_train[(y_train == 6) & (kmeans.labels_ == 6)][0:20]
+    h = X_train[(y_train == 7) & (kmeans.labels_ == 7)][0:20]
+    i = X_train[(y_train == 8) & (kmeans.labels_ == 8)][0:20]
+    j = X_train[(y_train == 9) & (kmeans.labels_ == 9)][0:20]
+    for char in (a, b, c, d, e, f, g, h, i, j):
+        for index in range(0, len(char)):
+            plt.subplot(10, 20, index + 1)
+            plt.axis('off')
+            plt.imshow(char[index])
+        plt.show()
+
+
+
 
 
 
diff --git a/q01_k_means/build.pyc b/q01_k_means/build.pyc
index fa56657..e77631e 100644
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diff --git a/q01_k_means/tests/__init__.pyc b/q01_k_means/tests/__init__.pyc
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diff --git a/q01_k_means/tests/test_q01_k_means.pyc b/q01_k_means/tests/test_q01_k_means.pyc
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