Advances in Principal Component Analysis Research and Development /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Naik, Ganesh R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Pattern recognition.; Computational intelligence.; Computer mathematics.; Biomedical engineering.; Signal, Image and Speech Processing.; Pattern Recognition.; Computational Intelligence.; Computational Mathematics and Numerical Analysis.; Biomedical Engineering and Bioengineering.
• Φυσική περιγραφή: VII, 252 p. 94 illus., 75 illus. in color. online resource.
• ISBN: 9789811067044
• DOI: 10.1007/978-981-10-6704-4

This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.