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r-spcavrp

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Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-spcavrp

Usage Tracking

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About

Summary

Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.

Last Updated

Oct 15, 2019 at 17:16

License

GPL-3

Total Downloads

1

Supported Platforms

noarch