作者: Jean-Pierre AL Dujardin , Dramane Kaba , Amy B Henry
关键词: Data mining 、 Observational error 、 Computer science 、 Landmark 、 Mathematical properties 、 Mahalanobis distance 、 Morphometrics 、 Artificial intelligence 、 Pattern recognition 、 Set (abstract data type)
摘要: Landmark based geometric morphometrics (GM) allows the quantitative comparison of organismal shapes. When applied to systematics, it is able to score shape changes which often …