Imputing incomplete multi-dimensional data using neural network and clustering similarity comparison
Thesis (Ph.D.)--Chulalongkorn University, 2011
Saved in:
Main Author: | Sathit Prasomphan (Author) |
---|---|
Other Authors: | Chidchanok Lursinsap (Contributor), Sirapat Chiewchanwattana (Contributor), Chulalongkorn University. Faculty of Science (Contributor) |
Format: | Book |
Published: |
Chulalongkorn University,
2013-08-28T07:40:47Z.
|
Subjects: | |
Online Access: | http://cuir.car.chula.ac.th/handle/123456789/35707 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Addressing health disparities using multiply imputed injury surveillance data
by: Yang Liu, et al.
Published: (2023) -
Evaluation of single missing value imputation approaches for incomplete air pollution data in Malaysia / Wan Suhailah Wan Mohamed Fauzi, Zuraira Libasin and Ahmad Zia ul-Saufie
by: Wan Mohamed Fauzi, Wan Suhailah, et al.
Published: (2020) -
Comparing Multi-Dimensional fNIRS Features Using Bayesian Optimization-Based Neural Networks for Mild Cognitive Impairment (MCI) Detection
by: Chutian Zhang, et al.
Published: (2023) -
Evaluation of machine learning methods for covariate data imputation in pharmacometrics
by: Dominic Stefan Bräm, et al.
Published: (2022) -
Evaluation of the imputation performance of the program IMPUTE in an admixed sample from Mexico City using several model designs
by: Krithika S, et al.
Published: (2012)