Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation.
Richard LeibrandtStephan GünnemannPublished in: SDM (2018)
Keyphrases
- missing values
- multivariate data
- kernel density estimation
- missing data
- incomplete data
- data imputation
- high dimensional data
- mean shift
- missing data imputation
- high dimensional
- principal components
- categorical data
- density estimation
- density function
- parameter space
- original data
- object segmentation
- probability density
- probability density function
- multiple imputation
- data mining
- missing attribute values
- computer vision