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Feature Selection for High-Dimensional Data Based on a Multi-objective Particle Swarm Optimization with Self-adjusting Strategy Pool.
Yingyu Peng
Ruiqi Wang
Dandan Yu
Yu Zhou
Published in:
NCAA (1) (2022)
Keyphrases
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high dimensional data
dimensionality reduction
high dimensionality
feature selection
multi objective particle swarm optimization
dimension reduction
nearest neighbor
low dimensional
high dimensional
data analysis
data points
gene expression data
similarity search
data sets
subspace clustering
feature extraction
clustering high dimensional data
linear discriminant analysis
manifold learning
high dimensional spaces
feature space
highly competitive
machine learning
feature set
input data
knn
high dimensional datasets
classification accuracy
particle swarm optimization
text classification
principal component analysis
upper bound
particle swarm optimisation
support vector