Volcanic Micro-Earthquake Classification With Spectral Manifolds in Low-Dimensional Latent Spaces.
Carlos Paúl Bernal OñateEnrique V. CarreraFrancisco Manuel Melgarejo-MeseguerRodolfo Gordillo-OrqueraJosé Luis Rojo-ÁlvarezRomán A. Lara-CuevaPublished in: IEEE Access (2024)
Keyphrases
- low dimensional
- latent space
- feature space
- high dimensional
- manifold learning
- dimension reduction
- dimensionality reduction
- low dimensional spaces
- euclidean space
- feature vectors
- high dimensional data
- pattern recognition
- riemannian manifolds
- hyperspectral images
- image classification
- feature selection
- spectral features
- machine learning
- support vector
- classification algorithm
- latent variables
- training set
- text classification
- supervised learning
- data points
- classification accuracy
- support vector machine svm
- high dimensionality
- decision trees
- parameter space
- feature extraction
- principal component analysis
- knn
- low dimensional manifolds
- category labels
- data sets