Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach.
Florian LalandeKenji DoyaPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- numerical data
- data sets
- nearest neighbor
- kernel density
- categorical data
- training set
- high dimensional data
- k nearest neighbor
- knn
- mean shift
- numerical values
- hidden markov models
- probabilistic model
- numerical attributes
- missing values
- symbolic data
- data points
- nearest neighbor search
- high dimensional
- missing data
- neural network
- training data
- particle filter
- database
- data analysis
- pattern recognition
- graph cuts
- cluster analysis
- active learning
- feature space
- bayesian networks