Robust Methods for Data Reduction

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Robust Methods for Data Reduction
Περιγραφή: 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
Συγγραφείς: Alessio Farcomeni, Luca Greco
Resource Type: eBook.
Θέματα: Robust control, Data reduction--Computer programs, Dimension reduction (Statistics)
Categories: MATHEMATICS / Probability & Statistics / Multivariate Analysis, COMPUTERS / Data Science / Data Analytics
Βάση Δεδομένων: eBook Index