Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting.
Zahra KarevanJohan A. K. SuykensPublished in: Entropy (2018)
Keyphrases
- weather forecasting
- feature selection
- mutual information
- text classification
- prediction accuracy
- support vector
- small sample
- text categorization
- air temperature
- information theory
- solar radiation
- multi class
- relative humidity
- models built
- prediction model
- prediction algorithm
- information theoretic
- feature selection algorithms
- prediction error
- irrelevant features
- clustering algorithm
- semi supervised learning
- feature set
- unsupervised feature selection
- classification accuracy
- automatic relevance determination
- missing data
- information gain
- high dimensionality
- kernel methods
- neural network
- dimensionality reduction
- principal component analysis
- active learning
- artificial neural networks
- feature extraction
- machine learning