IAML19.5 Single-link, complete-link, Ward's method

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  1. Victor Lavrenko
  2. Single-linkage Clustering
  3. Complete-linkage Clustering
  4. Ward's Method
  5. hierarchical clustering
  6. Machine Learning (Software Genre)
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very easy to understand, thanks for sharing

KazeLo
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Hi and thank you for this video,

Let's say the ward algorithm is completed and using the CCC criterion we find out that K=5. Since ward method acts by merging clusters (starting by assigning one cluster to each observation) then at some point there must have been k-clusters.
After K-1 repetitions of merging we are left we 1 cluster, at this point the ward algorithm has done its job and K-mean is initiated.

My question is: Does the K-mean algorithm to create the final number of K-clusters takes into accout the K clusters that were created K-1 repetitions before the end of the ward method or does is randomly chooses K observations as seeds for the final K clusters

Thank you

vangelisdalucas