Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data.
Xiaodong WangPengtao WuQinghua XuZhiqiang ZengYong XiePublished in: Knowl. Based Syst. (2021)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- feature selection
- data points
- unsupervised learning
- clustering high dimensional data
- data sets
- low dimensional
- high dimensional
- subspace clustering
- input space
- high dimensional data sets
- nearest neighbor
- input image
- high dimensional datasets
- dimension reduction
- learning algorithm
- input data
- gene expression data
- image data
- neural network
- similarity search
- similarity measure
- image classification
- dimensional data
- supervised learning
- nonlinear dimensionality reduction
- active learning
- data mining
- clustering method
- manifold learning
- image retrieval
- subspace learning
- text clustering
- high dimensional spaces
- small sample size
- semi supervised