A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization.
Panagiotis C. PetrantonakisIoannis KompatsiarisPublished in: IJCCI (2020)
Keyphrases
- data visualization
- dimensionality reduction methods
- dimensionality reduction
- discriminant projection
- discriminant analysis
- principal component analysis
- preprocessing step
- data sets
- knn
- principal components analysis
- high dimensional data analysis
- data analysis
- distance measure
- interactive visualization
- knowledge discovery
- visual data mining
- big data
- random projections
- fisher discriminant analysis
- data mining
- high dimensional
- feature set
- feature extraction
- parallel coordinates
- multimodal data
- dimension reduction
- low dimensional
- high dimensional data
- linear discriminant analysis
- data points
- pattern recognition
- principal components
- feature space
- preprocessing
- unsupervised learning
- data mining techniques
- partial least squares
- supervised dimensionality reduction
- document clustering