Robust Methods for Data Reduction
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| Title: | Robust Methods for Data Reduction |
|---|---|
| Description: | Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, dou |
| Authors: | Alessio Farcomeni, Luca Greco |
| Resource Type: | eBook. |
| Subjects: | Robust control, Data reduction--Computer programs, Dimension reduction (Statistics) |
| Categories: | MATHEMATICS / Probability & Statistics / Multivariate Analysis, COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, dou |
|---|---|
| ISBN: | 9781466590625 9780367783518 9780367827779 9781466590632 9780429167966 9781040212363 |
