Dataset Groups Activity Stream Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting The dataset is used for estimating the sparse principal component based on different statistical criteria and proving sparsistency conditions. BibTex: @dataset{Arvind_Prasadan_and_Raj_Rao_Nadakuditi_and_Debashis_Paul_2025, abstract = {The dataset is used for estimating the sparse principal component based on different statistical criteria and proving sparsistency conditions.}, author = {Arvind Prasadan and Raj Rao Nadakuditi and Debashis Paul}, doi = {10.57702/0c0q8rq9}, institution = {No Organization}, keyword = {'Noisy Rank-1 Setting', 'Principal Component Analysis', 'Sparse PCA'}, month = {jan}, publisher = {TIB}, title = {Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting}, url = {https://service.tib.eu/ldmservice/dataset/sparse-equisigned-pca--algorithms-and-performance-bounds-in-the-noisy-rank-1-setting}, year = {2025} }