
EXPLAINABILITY OF NEURAL NETWORK CLUSTERING IN INTERPRETING THE COVID-19 EMERGENCY DATA
Author(s) -
Zhenhua Yu,
Ayesha Sohail,
Taher A. Nofal,
João Manuel R. S. Tavares
Publication year - 2022
Publication title -
fractals
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 44
eISSN - 1793-6543
pISSN - 0218-348X
DOI - 10.1142/s0218348x22401223
Subject(s) - computer science , cluster analysis , covid-19 , representation (politics) , network topology , data mining , artificial neural network , topological data analysis , data science , self organizing map , artificial intelligence , medicine , disease , pathology , algorithm , politics , political science , infectious disease (medical specialty) , law , operating system