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Soma/learn_module.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+# modules
+import pandas as pd
+from sklearn.cluster import KMeans
+from sklearn.preprocessing import MinMaxScaler
+
+
+# In[ ]:
+
+
+
+
+
+# In[2]:
+
+
+def learn_video(data):
+    KM = KMeans(n_clusters=2, algorithm='auto', random_state=10)
+    n_data = data[['cnt_max', 'cnt_max_divide_mean']]
+    scaler = MinMaxScaler(copy=True, feature_range=(0, 1))
+    scaler.fit(n_data)
+    final = scaler.transform(n_data)
+    final = pd.DataFrame(final)
+
+    KM.fit(final)
+
+    return KM
+
+
+# In[ ]:
+
+
+
+
+
+# In[3]:
+
+
+def learn_cctv(data):
+    KM = KMeans(n_clusters=2, algorithm='auto', random_state=1)
+    n_data = data[['cnt_max', 'minus_Min_Max', 'std', 'ipLenCount', 'srcPort']]
+    scaler = MinMaxScaler(copy=True, feature_range=(0,1))
+    scaler.fit(n_data)
+    final = scaler.transform(n_data)
+    final = pd.DataFrame(final)
+
+    KM.fit(final)
+
+    return KM
+
+
+# In[ ]:
+
+
+
+