A Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-means/k-means++ Unsupervised Algorithm on GOES IR Imagery.
Adrián YuchechenSusan Gabriela LakkisAgustín CaferriPablo CanzianiJuan Pablo MuszkatsPublished in: Remote. Sens. (2020)
Keyphrases
- k means
- unsupervised clustering
- data clustering
- clustering algorithm
- rough k means
- cluster analysis
- hierarchical clustering
- cluster centers
- clustering method
- clustering quality
- fuzzy k means
- self organizing maps
- unsupervised learning
- clustering approaches
- clustering framework
- support vector machine svm
- expectation maximization
- classification algorithm
- initial cluster centers
- clustering analysis
- hierarchical agglomerative clustering
- supervised classification
- preprocessing
- optimal solution
- supervised learning
- hierarchical clustering algorithm
- clustering result
- agglomerative hierarchical clustering
- unsupervised classification
- hierarchical clustering algorithms
- information retrieval
- normalized cut
- document clustering
- semi supervised
- feature extraction
- learning algorithm
- text clustering
- cluster structure
- fuzzy c means
- decision trees
- support vector machine
- probabilistic model
- pairwise
- similarity measure