Implement clustering of massive-domain attributes
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Key: MAHOUT-173
URL: https://issues.apache.org/jira/browse/MAHOUT-173
Project: Mahout
Issue Type: New Feature
Components: Clustering
Reporter: Matias Bjørling
Priority: Trivial
Implement the Clustering algorithm described in "A Framework for Clustering
Massive-Domain Data Streams" by Chary C. Aggarwal.
Steps:
1. Implement baseline solution to compare solutions.
2. Figure out how to implement the loading of clustering by looking at the
k-means implementation.
3. Implement Count-Min sketch algorithm for each cluster.
4. Find out how to give the user the power to choose the distance function for
the input data ( Maybe already possible? )
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