Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT)
Page: Top Down Clustering 
(https://cwiki.apache.org/confluence/display/MAHOUT/Top+Down+Clustering)


Edited by Paritosh Ranjan:
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Top Down Clustering

Top Down clustering is a type of Hierarchical Clustering. It tries to find 
bigger clusters first and then does fine grained clustering on these clusters. 
Hence the name Top Down.

Any clustering algorithm can be used to perform the Top Level Clustering ( 
finding bigger clusters ) and the Bottom Level Clustering ( fine grained 
clustering on each of the top level clusters). So, all clustering algorithms 
available in Mahout, other than the MinHash Clustering algorithm ( which is a 
"Bottom Up" Clustering Algorithm ), are suitable to be used for Top Down 
Clustering, on both Top Level and Bottom Level.

The top level clustering output needs to be post processed in order to identify 
all top level clusters and, to group vectors into their respective top level 
clusters. So, that, the bottom level clustering can execute on each of them.

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