It is well known that Sparse PCA (Sparse Principal Component Analysis) is NP-hard to solve exactly on worst-case instances. What is the complexity of ...
Jul 21, 2015 · Abstract:It is well known that Sparse PCA (Sparse Principal Component Analysis) is NP-hard to solve exactly on worst-case instances.
Duration: 8:47
Posted: Jul 19, 2016
Posted: Jul 19, 2016
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Abstract. It is well known that Sparse PCA (Sparse Principal Component Analysis) is NP-hard to solve exactly on worst-case instances.
Jul 21, 2015 · Abstract. It is well known that Sparse PCA (Sparse Principal Component Analysis) is NP-hard to solve exactly on worst-case instances.
We give a reduction from clique to establish that sparse Principal Components Analysis (sparse ... On the approximability of sparse pca. In 29th. Annual ...
May 5, 2023 · In this paper, we present three provably accurate, polynomial time, approximation algorithms for the SPCA problem, without imposing any ...
May 29, 2019 · Bibliographic details on On the Approximability of Sparse PCA.
We give a reduction from clique to establish that sparse Principal Components Analysis (sparse PCA) is NP-hard. ... Chan et al. On the approximability of sparse ...
Jul 1, 2024 · Sparse principal component analysis (SPCA) is designed to enhance the interpretability of traditional principal component analysis by ...
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