Revisiting the Problem of Missing Values in High-Dimensional Data and Feature Selection Effect.
Marina G. EliaWenting DuanPublished in: AIAI (1) (2024)
Keyphrases
- high dimensional data
- missing values
- high dimensionality
- feature selection
- dimensionality reduction
- dimension reduction
- high dimensional
- nearest neighbor
- low dimensional
- gene expression data
- incomplete data
- subspace clustering
- data analysis
- data sets
- manifold learning
- data points
- data imputation
- similarity search
- missing data
- original data
- information gain
- linear discriminant analysis
- feature set
- low rank
- feature selection algorithms
- feature space
- sparse representation
- training data
- machine learning
- microarray data
- data mining
- text categorization
- input data
- principal component analysis
- image data
- pattern recognition
- support vector
- neural network