High-Dimensional Data Clustering Algorithm Based on Stacked-Random Projection.
Yujia SunJan PlatosPublished in: INCoS (2020)
Keyphrases
- high dimensional data
- random projections
- dimensionality reduction
- clustering algorithm
- dimension reduction
- original data
- low dimensional
- subspace clustering
- high dimensionality
- sparse representation
- high dimensional
- nearest neighbor
- document clustering
- lower dimensional
- principal component analysis
- data points
- distance preserving
- linear discriminant analysis
- data distribution
- data analysis
- similarity search
- high dimensional datasets
- clustering method
- data sets
- k means
- cluster analysis
- unsupervised learning
- euclidean distance
- dimensionality reduction methods
- singular value decomposition
- feature selection
- pattern recognition
- database
- text categorization
- information retrieval
- database systems
- hash functions
- feature space
- high resolution
- least squares
- supervised learning
- multi dimensional
- image reconstruction
- input data