A Novel Information Theoretical Criterion for Climate Network Construction
This paper presents a novel methodology for Climate Networkconstruction based on the Kullback-Leibler divergenceamong Membership Probabilitydistributions, obtained from the Second Order Data-Coupled Clusteringalgorithm. The proposed method is able to obtain CNs with emergent behaviour adapted to the...
Main Authors: | Sara Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Luis Prieto-Godino, Sancho Salcedo-Sanz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/12/9/1500 |
Similar Items
-
Clustering Some MicroRNAs Expressed in the Breast Tissue Using Shannon Information Theory and Comparing the Results With UPGMA, Neighbor-Joining, and Maximum-Likelihood Methods
by: Arezo Askari Rad, et al.
Published: (2020-09-01) -
Measuring Language Distance of Isolated European Languages
by: Pablo Gamallo, et al.
Published: (2020-03-01) -
Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network
by: Leila Schneps, et al.
Published: (2018-11-01) -
Quantitative Comparison of Conformational Ensembles
by: Kevin C. Wolfe, et al.
Published: (2012-02-01) -
Article Omission in Dutch Children with SLI: A Processing Approach
by: Lizet van Ewijk, et al.
Published: (2010-04-01)