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License: Apache License 2.0
The Linear Information Sieve
License: Apache License 2.0
In my application, I have binary vectors to cluster. Along the data to cluster, I also have a fixed hierarchy concepts. Is it possible to leverage it for the task of clustering?
For example, I have many 100-dimension binary vectors that I would like to cluster. I also have a tree that relates the concepts hierarchically over the 100 terms/elements. The 100 terms/elements are the terminal nodes while the concepts group them.
I can ignore the hierarchy of concepts and proceed with clustering only. Making use of this tree seems to be useful for clustering.
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