Independent Component Analysis Using Random Projection For Data Pre-Processing

@inproceedings{Ansari2012IndependentCA,
  title={Independent Component Analysis Using Random Projection For Data Pre-Processing},
  author={Adeel Ansari and Afza Bt. Shafie and Abas B. Md Said},
  year={2012}
}
There is an inherent difficulty of finding out latent structures within high dimensional data repository centers. It is assumed that this data is generated by these unknown latent variables and with the relationship and interaction between each of them. The task is to find these latent variables and the way they interact, given the observed data only. It is assumed that the latent variables do not depend on each other but act independently. A popular method for counteracting with the above… CONTINUE READING
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