Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis.
Lirong WuLifan YuanGuojiang ZhaoHaitao LinStan Z. LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- end to end
- high dimensional data analysis
- dimension reduction
- preprocessing step
- high dimensional
- face recognition
- variable selection
- multimodal data
- high dimensional data
- supervised dimensionality reduction
- clustering algorithm
- cluster analysis
- dimensionality reduction methods
- data analysis
- clustering method
- congestion control
- k means
- linear transformation
- dimensionality reduction
- principal component analysis
- text localization and recognition
- multimedia databases
- spectral clustering
- document clustering
- cross validation
- unsupervised learning
- linear discriminant analysis
- singular value decomposition
- similarity search
- least squares
- video sequences