Entropy 2019 Best Paper Award.

B Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting b In addition, by taking into account the local structure of the data, we proposed a clustering-based sample entropy methodology. In this approach, depending on the clustering information of the training data and the membership values of the test point to the clusters, the samples have different impact on the sample entropy. [Extracted from the article]