Machine Learning

                                                                                            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 segme...

   Unit 5 B Clustering How does clustering work finding similarities using distances Euclidean distance and other distance metrics k-Means Clustering: Plotting customers with their segments normalizing features cluster centres and interpreting the Clusters   Hierarchical Clustering ------------------------------------------------------------------------------------------------------------------------

  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 -------------------------------------------------------------------------------------------------------------------------