On the Dimension Reduction of Radio Maps with a Supervised Approach.
Bing JiaBaoqi HuangHepeng GaoWuyungerile LiPublished in: LCN (2017)
Keyphrases
- dimension reduction
- unsupervised learning
- feature selection
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- variable selection
- data mining and machine learning
- semi supervised
- singular value decomposition
- random projections
- high dimensional data
- low dimensional
- discriminative information
- high dimensionality
- linear discriminant analysis
- feature space
- supervised learning
- learning algorithm
- dimensionality reduction
- partial least squares
- machine learning
- manifold embedding
- dimension reduction methods
- manifold learning
- discriminant analysis
- self organizing maps
- support vector machine svm
- model selection
- data points
- computer vision
- neural network