Publications by authors named "Aneesha Balachandran Pillay"
Article Synopsis
- The study introduces a new method called functional data geometric morphometrics (FDGM) to classify three shrew species from Peninsular Malaysia using 2D landmark data.
- FDGM transforms this data into continuous curves represented by linear combinations of basis functions, offering a comparison to traditional geometric morphometrics (GM).
- Results indicated that FDGM outperformed GM, with the dorsal view of the crania being the most effective for species classification, and various machine learning approaches were tested to enhance classification accuracy.
