Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach.
Florian LalandeKenji DoyaPublished in: CoRR (2023)
Keyphrases
- numerical data
- data sets
- nearest neighbor
- kernel density
- training set
- mean shift
- categorical data
- numerical values
- k nearest neighbor
- high dimensional data
- knn
- numerical attributes
- high dimensional
- missing data
- missing values
- probabilistic model
- hidden markov models
- symbolic data
- nearest neighbor search
- breast tumors
- data points
- bayesian networks
- disclosure risk
- machine learning
- neural network
- unsupervised learning
- low dimensional
- classification rules
- pairwise
- pattern recognition
- face recognition
- feature selection