Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering.
Nikolaos SiomosIlias FountoulakisAthanasios NatsisTheano DrosoglouAlkiviadis BaisPublished in: Remote. Sens. (2020)
Keyphrases
- machine learning
- machine learning methods
- automated classification
- unsupervised learning
- supervised classification
- pattern recognition
- decision trees
- machine learning algorithms
- text classification
- supervised learning
- support vector machine
- machine learning approaches
- supervised machine learning
- unsupervised clustering
- feature selection
- model selection
- unsupervised classification
- clustering algorithm
- support vector
- image classification
- classification algorithm
- k means
- high dimensionality
- learning algorithm
- self organizing maps
- multi class
- classification method
- semi supervised
- learning tasks
- support vector machine svm
- hyperspectral images
- training set
- classification models
- classification accuracy
- clustering analysis
- neural network
- hierarchical clustering
- spectral clustering
- high dimensional data
- clustering method
- information extraction
- active learning
- feature vectors