TY - GEN
T1 - Bayesian Approach to the Classification of BMI Time Series Data from Babyhood to Junior High School Age of Japanese Children
AU - Aida, Toshiaki
AU - Haga, Chiyori
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by JSPS KAKENHI Grant Number JP18K11021.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/10
Y1 - 2019/5/10
N2 - The time developments of BMIs (Body Math Index) of children are known to be classified into several types, and the results can be utilized to their health guidance. For this purpose, we approach to the classification problem of the time developments of the BMI data of Japanese children from their babyhood to junior high school age. We have inferred the dimension of their principal component space and the number of component distributions of a Gaussian mixture model, adopting a framework of variational Bayesian statistical inference. As a result, the data are found to be classified into 8 types in a 12-dimensional principal component space.
AB - The time developments of BMIs (Body Math Index) of children are known to be classified into several types, and the results can be utilized to their health guidance. For this purpose, we approach to the classification problem of the time developments of the BMI data of Japanese children from their babyhood to junior high school age. We have inferred the dimension of their principal component space and the number of component distributions of a Gaussian mixture model, adopting a framework of variational Bayesian statistical inference. As a result, the data are found to be classified into 8 types in a 12-dimensional principal component space.
KW - BMI
KW - Bayes
KW - Classification
KW - GMM
KW - PCA
KW - time series
KW - variational approximation
UR - http://www.scopus.com/inward/record.url?scp=85066602374&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066602374&partnerID=8YFLogxK
U2 - 10.1109/ICBDA.2019.8713200
DO - 10.1109/ICBDA.2019.8713200
M3 - Conference contribution
AN - SCOPUS:85066602374
T3 - 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
SP - 21
EP - 25
BT - 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
Y2 - 15 March 2019 through 18 March 2019
ER -