Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses
نویسندگان
چکیده
منابع مشابه
Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses
Assessment methods in human locomotion often involve the description of normalised graphical profiles and/or the extraction of discrete variables. Whilst useful, these approaches may not represent the full complexity of gait data. Multivariate statistical methods, such as Principal Component Analysis (PCA) and Discriminant Function Analysis (DFA), have been adopted since they have the potential...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0183990