A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data.
Andrea BommertJörg RahnenführerMichel LangPublished in: Comput. Math. Methods Medicine (2017)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- high dimensionality
- feature selection
- low dimensional
- sparse representation
- dimension reduction
- nearest neighbor
- data points
- data sets
- high dimensions
- similarity search
- high dimension
- high dimensional spaces
- original data
- input space
- model selection
- data analysis
- gene expression data
- manifold learning
- subspace clustering
- clustering high dimensional data
- high dimensional datasets
- lower dimensional
- random projections
- variable selection
- low rank
- database
- training data
- predictive modeling
- pattern recognition
- text classification
- input data
- knn