Similarity Kernel and Clustering via Random Projection Forests.
Donghui YanSongxiang GuYing XuZhiwei QinPublished in: CoRR (2019)
Keyphrases
- random projections
- similarity function
- document clustering
- clustering algorithm
- similarity measure
- clustering method
- dimension reduction
- high dimensionality
- low dimensional
- lossy image compression
- dimensionality reduction
- k means
- feature space
- random sampling
- distance metric
- image reconstruction
- high dimensional data
- sparse representation
- kernel methods
- data points
- hash functions
- text documents
- unsupervised learning
- original data
- principal component analysis
- feature extraction
- distance function
- information retrieval
- kernel function
- supervised learning
- image processing