20 citations · 33 across the 10 of their papers we have counts for
1 paper · 2 filters
Kazuyoshi Yata, Makoto Aoshima
Sparse principal component analysis (SPCA) methods have proven to efficiently analyze high-dimensional data. Among them, threshold-based SPCA (TSPCA) is computationally more cost-e…