Unsupervised Feature Selection Methodology for Clustering in High Dimensionality Datasets.
Marcos de Souza OliveiraSergio QueirozPublished in: RITA (2020)
Keyphrases
- high dimensionality
- unsupervised feature selection
- feature selection
- dealing with high dimensional data
- dimensionality reduction
- high dimensional datasets
- high dimensional data
- high dimensional
- feature space
- data clustering
- gene expression data
- microarray
- dimension reduction
- data matrix
- database
- data points
- missing values
- feature set
- unsupervised learning
- model selection
- nearest neighbor
- feature subset
- data mining applications
- feature extraction
- classification accuracy
- pattern recognition
- knn
- feature selection and classification