A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval.
Mohammed Amin BelarbiSaïd MahmoudiGhalem BelalemSidi Ahmed MahmoudiAurélie CoolsPublished in: Big Data Cogn. Comput. (2022)
Keyphrases
- comparative study
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- data sets
- knn
- preprocessing step
- principal component analysis
- discriminant projection
- nonlinear dimensionality reduction
- distance measure
- principal components analysis
- random projections
- feature set
- high dimensional
- linear discriminant analysis
- feature selection
- covariance matrix
- feature extraction
- unsupervised learning
- document clustering
- partial least squares
- pattern recognition
- image processing
- k nearest neighbor
- low dimensional
- nearest neighbor
- classification accuracy
- locally linear embedding