On the Cluster Validity Test (s) in Unsupervised Machine Learning TDA Approach for Atmospheric River Patterns on Flood Detection in Nigeria Felix Obi Ohanuba (  felixohanuba@gmail.com ) Universiti Sains Malaysia https://orcid.org/0000-0003-3408-8568 Mohd Tahir Ismail Universiti Sains Malaysia Majid Khan Majahar Ali Universiti Sains Malaysia Ekele Alih The Federal Polytechnic Idah Precious Ndidiamaka Ezra University of Nigeria Faculty of Physical Sciences Research Article Keywords: clustering, extreme climate, ｧood menace, machine learning, topology, big data, sustainable de-velopment goal (SDG) Posted Date: June 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-459258/v1 License:   This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License