Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis.
Liping HuangZhenghuan LiRuikang LuoRong SuPublished in: Sensors (2023)
Keyphrases
- data imputation
- missing values
- missing data
- probabilistic principal component analysis
- data driven
- generative model
- incomplete data
- high dimensional data
- network traffic
- traffic flow
- discriminative learning
- machine learning
- prior knowledge
- imputation methods
- unsupervised learning
- artificial neural networks
- latent variables
- decision trees