Combining Multiple Feature Selection Methods and Deep Learning for High-dimensional Data.
Mihaela A. MaresShicai WangYike GuoPublished in: Trans. Mach. Learn. Data Min. (2016)
Keyphrases
- high dimensional data
- combining multiple
- deep learning
- dimensionality reduction
- unsupervised learning
- low dimensional
- nearest neighbor
- data sets
- high dimensional
- high dimensionality
- subspace clustering
- data points
- machine learning
- similarity search
- data analysis
- sparse representation
- weakly supervised
- gene expression data
- mental models
- clustering high dimensional data
- input data
- neural network
- data clustering
- knowledge discovery
- object recognition
- pattern recognition
- feature selection