Unsupervised dimensionality reduction by jointing dynamic hypergraph and low-rank embedding for classification and clustering.
Lin LiZhaoni LiJian ZhengHongchun QuPublished in: Expert Syst. Appl. (2022)
Keyphrases
- low rank
- unsupervised dimensionality reduction
- dimensionality reduction
- high dimensional data
- unsupervised learning
- matrix factorization
- high order
- support vector
- clustering algorithm
- linear combination
- matrix completion
- support vector machine
- image classification
- missing data
- convex optimization
- low rank matrix
- decision trees
- clustering method
- text categorisation
- machine learning
- semi supervised
- data points
- pattern recognition
- higher order
- k means
- document classification
- multidimensional scaling
- feature extraction
- principal component analysis
- pairwise
- feature selection
- face recognition
- feature space
- neural network
- rank minimization
- trace norm
- low dimensional
- high dimensional
- image restoration
- text classification