Login / Signup
A Survey on Dimensionality Reduction Techniques for Time-Series Data.
Mohsena Ashraf
Farzana Anowar
Jahanggir Hossain Setu
Atiqul Islam Chowdhury
Eshtiak Ahmed
Ashraful Islam
Abdullah Al-Mamun
Published in:
IEEE Access (2023)
Keyphrases
</>
dimensionality reduction
high dimensional
data points
high dimensional data
high dimensionality
principal component analysis
low dimensional
feature selection
manifold learning
data representation
feature extraction
dimensionality reduction methods
linear dimensionality reduction
input space
pattern recognition
linear discriminant analysis
dimension reduction
pattern recognition and machine learning
principal components
singular value decomposition
lower dimensional
structure preserving
genetic algorithm
anomaly detection
preprocessing step
random projections
kernel pca
feature space
sparse representation
metric learning
kernel learning
nonlinear dimensionality reduction
linear projection
data sets