Accelerating Similarity-based Mining Tasks on High-dimensional Data by Processing-in-memory.
Fang WangMan Lung YiuZili ShaoPublished in: ICDE (2021)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- subspace clustering
- data analysis
- high dimensions
- dimension reduction
- original data
- data sets
- data distribution
- similarity search
- complex data
- data points
- subspace clusters
- clustering high dimensional data
- input space
- dimensional data
- text mining
- neural network
- sparse representation
- text data
- high dimensional datasets
- nonlinear dimensionality reduction
- manifold learning
- data mining
- variable selection
- lower dimensional
- high dimensional data sets
- input data
- small sample size