Machine Learning 1: UNIT 5(B) NOTEs: Clustering NOTES

 Unit 5 B

Clustering

5.     How does clustering work

6.     finding similarities using distances

7.     Euclidean distance and other distance metrics

k-Means Clustering:

8.     Plotting customers with their segments

9.     normalizing features

10.  cluster centres and interpreting the Clusters

11.  Hierarchical Clustering

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