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.
