A statistical approach of identifying indexes crucial to characterizing Chinese yams in terms of shape
Koki Kyo, Mitsuru Hachiya
Available Online January 2014.
- Bayesian model, Chinese yam, Shape estimation and characterization
- We propose a statistical approach with which to identify the indexes crucial to classifying Chinese yams by shape. The proposed approach comprises two steps. The first step is to estimate the diameters indicating the shapes of yams along their length, and the second step is to characterize the shapes of sample yams employing principal component analysis and correlation analysis. It is found that the ratio of the weight to length of yams can be used as a crucial index for the purpose of classification of yams.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Koki Kyo AU - Mitsuru Hachiya PY - 2014/01 DA - 2014/01 TI - A statistical approach of identifying indexes crucial to characterizing Chinese yams in terms of shape BT - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics PB - Atlantis Press SP - 19 EP - 24 SN - 1951-6851 UR - https://www.atlantis-press.com/article/11352 ID - Kyo2014/01 ER -