Xiangrui Meng created SPARK-11465:
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Summary: Support multiple eigenvectors in power iteration
clustering
Key: SPARK-11465
URL: https://issues.apache.org/jira/browse/SPARK-11465
Project: Spark
Issue Type: New Feature
Components: MLlib
Reporter: Xiangrui Meng
I created this JIRA to collect use cases of using more than 1
(pseudo)-eigenvectors in power iteration clustering, in order to decide whether
we want to add this feature. Some related work:
* Deflation-based power iteration clustering:
http://www.cs.ucsb.edu/~veronika/MAE/deflation-PIC.pdf
* Spectral Clustering via the Power Method -- Provably:
http://arxiv.org/abs/1311.2854
If you are interested in this feature, please describe your use cases in
comments and why using a single eigenvector is not sufficient.
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