Robust fuzzy clustering of multivariate time series is addressed when the purpose grouping together generated from similar stochastic processes. Robustness to presence anomalous attained by considering three well-known robust versions a C -means model based on spectral dissimilarity measure with high discriminatory power. The compares principal component scores obtained estimates quantile cross...

Robust multivariate correlation techniques are proposed to determine the strength of association between two or more variables interest since existing susceptible outliers when data set contains random outliers. The performances were compared with conventional techniques. All under study applied on COVID-19 sets for Malaysia and Nigeria level which confirmed, discharged, death cases. These tech...