Reference vector-based multi-objective clustering for high-dimensional data.
Chao LiuYuanrui LiQi ZhaoChenqi LiuPublished in: Appl. Soft Comput. (2019)
Keyphrases
- high dimensional data
- multi objective
- nearest neighbor
- dimensionality reduction
- data points
- subspace clustering
- high dimensionality
- high dimensional
- high dimensions
- low dimensional
- clustering high dimensional data
- similarity search
- data sets
- data analysis
- evolutionary algorithm
- high dimensional data sets
- original data
- dimension reduction
- high dimensional datasets
- small sample size
- linear discriminant analysis
- nonlinear dimensionality reduction
- manifold learning
- high dimensional spaces
- dimensional data
- pattern recognition
- lower dimensional
- text data
- high dimensional feature spaces
- genetic algorithm
- objective function
- vector space
- distance measure
- machine learning
- clustering method
- particle swarm optimization
- neural network