A novel pattern recognition technique based on group clustering computing and convex optimization for dimensionality reduction.
Shiqi LiMingming WangShiping LiuYan FuPublished in: Clust. Comput. (2018)
Keyphrases
- convex optimization
- dimensionality reduction
- pattern recognition
- high dimensional data
- high dimensionality
- unsupervised learning
- data points
- total variation
- interior point methods
- feature extraction
- k means
- low rank
- clustering algorithm
- convex optimization problems
- primal dual
- semi definite programming
- computer vision
- principal component analysis
- low dimensional
- high dimensional
- operator splitting
- image restoration
- unsupervised feature selection
- machine learning
- image processing
- convex relaxation
- random projections
- metric learning
- feature space
- data clustering
- semidefinite program
- basis pursuit
- convex formulation
- alternating direction method of multipliers
- face recognition
- feature selection
- dimensionality reduction methods
- support vector machine
- singular value decomposition
- linear programming
- linear combination