From 31a0f52b4ecac628a57d2f0601dd071cdc00cf7f Mon Sep 17 00:00:00 2001
From: vp999 <patilvish@gmail.com>
Date: Mon, 19 Mar 2018 04:57:27 +0000
Subject: [PATCH 1/3] Done

---
 "D:\\output.pdf"                              | Bin 0 -> 11183 bytes
 __pycache__/__init__.cpython-36.pyc           | Bin 147 -> 140 bytes
 "d:\\output.pdf"                              | Bin 0 -> 11183 bytes
 "d:\\output.png"                              | Bin 0 -> 11112 bytes
 output.pdf                                    | Bin 0 -> 11183 bytes
 output.png                                    | Bin 0 -> 11112 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 159 -> 152 bytes
 q01_k_means/__pycache__/build.cpython-36.pyc  | Bin 1217 -> 884 bytes
 q01_k_means/build.py                          |  22 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 165 -> 158 bytes
 .../test_q01_k_means.cpython-36.pyc           | Bin 980 -> 973 bytes
 11 files changed, 17 insertions(+), 5 deletions(-)
 create mode 100644 "D:\\output.pdf"
 create mode 100644 "d:\\output.pdf"
 create mode 100644 "d:\\output.png"
 create mode 100644 output.pdf
 create mode 100644 output.png

diff --git "a/D:\\output.pdf" "b/D:\\output.pdf"
new file mode 100644
index 0000000000000000000000000000000000000000..87edd3dc1ed9327608628595c133c2c08f7bf95e
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diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index e366269077e983833ef48c5fa9aa4663f810fe01..eaeba24c898de0c64c1c2aab9668287f7ef0adf2 100644
GIT binary patch
delta 46
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delta 53
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diff --git "a/d:\\output.pdf" "b/d:\\output.pdf"
new file mode 100644
index 0000000000000000000000000000000000000000..79597bedc9f31e47d2660312a3bfef4b8d99b131
GIT binary patch
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diff --git a/q01_k_means/build.py b/q01_k_means/build.py
index 5901df3..5b92c7f 100644
--- a/q01_k_means/build.py
+++ b/q01_k_means/build.py
@@ -1,6 +1,12 @@
 # Default imports
 from sklearn.cluster import KMeans
+import matplotlib
+matplotlib.use('Agg')
+matplotlib.rcParams['interactive'] == True
+
 import matplotlib.pyplot as plt
+
+
 from sklearn import datasets
 
 
@@ -10,8 +16,14 @@
 y_train = digits.target
 
 # Write your solution here :
-
-
-
-
-
+def k_means ( X_train, y_train, cluster = 10,random_state = 9):
+    model = KMeans(init="k-means++", n_clusters=cluster,random_state=random_state )
+    nsamples, nx, ny = X_train.shape
+    X_train = X_train.reshape((nsamples,nx*ny))
+    labels = model.fit_predict ( X_train )
+    plt.scatter(X_train[:, 0], X_train[:, 1], c=labels, s=50, cmap='viridis')
+    return
+
+k_means ( X_train, y_train)
+#plt.savefig('D:\\output.pdf', format='pdf', dpi=1200)
+plt.show()
diff --git a/q01_k_means/tests/__pycache__/__init__.cpython-36.pyc b/q01_k_means/tests/__pycache__/__init__.cpython-36.pyc
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From 8f601761e3ddc19bd43964f0e9e788490f0ff1c6 Mon Sep 17 00:00:00 2001
From: vp999 <patilvish@gmail.com>
Date: Mon, 19 Mar 2018 05:12:19 +0000
Subject: [PATCH 2/3] Done

---
 q01_k_means/build.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/q01_k_means/build.py b/q01_k_means/build.py
index 5b92c7f..324374e 100644
--- a/q01_k_means/build.py
+++ b/q01_k_means/build.py
@@ -24,6 +24,27 @@ def k_means ( X_train, y_train, cluster = 10,random_state = 9):
     plt.scatter(X_train[:, 0], X_train[:, 1], c=labels, s=50, cmap='viridis')
     return
 
+def k_means_ga(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()
+
+
 k_means ( X_train, y_train)
 #plt.savefig('D:\\output.pdf', format='pdf', dpi=1200)
 plt.show()

From 65c700789596419f20d64ceb9e18b41c1740ffdf Mon Sep 17 00:00:00 2001
From: vp999 <patilvish@gmail.com>
Date: Mon, 19 Mar 2018 05:24:40 +0000
Subject: [PATCH 3/3] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 172 -> 165 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1157 -> 1150 bytes
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 178 -> 171 bytes
 ...st_q02_hierarchy_clustering.cpython-36.pyc | Bin 1088 -> 1081 bytes
 4 files changed, 0 insertions(+), 0 deletions(-)

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