An automatic affinity propagation clustering based on improved equilibrium optimizer and t-SNE for high-dimensional data.
Yuxian DuanChangyun LiuSong LiXiangke GuoChunlin YangPublished in: Inf. Sci. (2023)
Keyphrases
- high dimensional data
- affinity propagation
- high dimensional
- low dimensional
- subspace clustering
- nearest neighbor
- dimensionality reduction
- clustering method
- high dimensionality
- data points
- data sets
- original data
- input space
- data analysis
- similarity search
- dimension reduction
- manifold learning
- affinity propagation clustering
- high dimensional datasets
- clustering high dimensional data
- data distribution
- sparse representation
- dimensional data
- high dimensional spaces
- clustering algorithm
- linear discriminant analysis
- principal component analysis
- lower dimensional
- locally linear embedding
- multi dimensional
- target detection
- high dimensional data sets
- pattern recognition
- variable weighting