Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification.
Jorge Sampaio Silveira JuniorJoão Ruivo PauloJérôme MendesDaniela AlvesLuís Mário RibeiroCarlos ViegasPublished in: Expert Syst. Appl. (2022)
Keyphrases
- unsupervised learning
- support vector
- statistical classification
- clustering algorithm
- clustering method
- unsupervised clustering
- pattern recognition
- automatic classification
- classification accuracy
- pattern classification
- supervised classification
- classification method
- support vector machine svm
- feature selection
- camera calibration
- benchmark datasets
- clustering analysis
- unsupervised classification
- semi automatic
- machine learning
- decision trees
- image classification
- classification algorithm
- feature extraction
- training set
- k means
- focal length
- machine learning algorithms
- fuzzy clustering
- density estimation
- hierarchical clustering
- spectral clustering
- high dimensionality
- preprocessing
- text classification
- features extraction
- data sets