completed 2 clustering parts of unsupervised learning section

python/Unsupervised Learning/Hierarchical and Density Based Clustering/dbscab.py

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+import pandas as pd
+import dbscan_lab_helper as helper
+from sklearn import cluster
+
+dataset_1 = pd.read_csv('blobs.csv')[:80].values
+helper.plot_dataset(dataset_1)
+
+# TODO: create an instance of DBSCAN
+dbscan = cluster.DBSCAN()
+# TODO: use DBSCAN's fit_predict to return clustering labels for dataset_1
+clustering_labels_1 = dbscan.fit_predict(dataset_1)
+
+# Plot clustering
+helper.plot_clustered_dataset(dataset_1, clustering_labels_1)