**Acknowledgements**

The authors thank the NOAA and KNIME for providing to the scientific community publics datasets, leveraging researches and technology development. The authors also thank the research group CS2i and the Reference Center for Artificial Intelligence at SENAI CIMATEC.

*Multivariate Real Time Series Data Using Six Unsupervised Machine Learning Algorithms DOI: http://dx.doi.org/10.5772/intechopen.94944*
