Principal Component Analysis (PCA) for Powder Diffraction Data: Towards Unblinded Applications
نویسندگان
چکیده
منابع مشابه
2 Applications of Principal Component Analysis ( PCA ) in Materials Science
Nowadays we are living in the information age with the fast development of computational technologies and modern facilities. Larger data sets are produced by experiments and computer simulations. In contrast to conventional scientific approaches where simple models are built to fit the data, automated procedures are urged to obtain insights into the core messages carried by the large volume of ...
متن کاملUsing Principal Component Analysis (pca) to Obtain Auxiliary Variables for Missing Data in Large Data Sets
......................................................................................................................................... iii Acknowledgement ......................................................................................................................... iv Table of
متن کاملMeasuring gas demand security using Principal Component Analysis (PCA): A case study
Safeguarding the energy security is an important energy policy goal of every country. Assuring sufficient and reliable resources of energy at affordable prices is the main objective of energy security. Due to such reasons as special geopolitical position, terrorist attacks and other unrest in the Middle East, securing Iran’s energy demand and increasing her natural gas exports have turned into ...
متن کاملAutomated Principal Component Analysis (PCA) filtering for denoising DCE-MRI data
Introduction Dynamic Contrast Enhanced MRI (DCE-MRI) is recognized as an efficient diagnosis and prognostics tool in several lesions such as in solid cancers. However, the improvement of its quantification remains crucial. Among other questions, the signal to noise ratio (SNR) is known to be poor in DCE-MRI, yielding a low efficiency of the DCE-MRI to detect and characterize small o heterogeneo...
متن کاملFacial Expressions recognition Based on Principal Component Analysis (PCA)
The facial expression recognition is an ocular task that can be performed without human discomfort, is really a speedily growing on the computer research field. There are many applications and programs uses facial expression to evaluate human character, judgment, feelings, and viewpoint The process of rrecognizing facial expression is a hard task due to the several circumstances such as facial ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Crystals
سال: 2020
ISSN: 2073-4352
DOI: 10.3390/cryst10070581