A heuristic approach for finding similarity indexes of multivariate data sets

• Main Authors: Khan, Rahim, Zakarya, Muhammad, Khan, Ayaz Ali, Ur Rahman, Izaz, Abd Rahman, Mohd Amiruddin, Abdul Karim, Muhammad Khalis, Mustafa, Mohd Shafie
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/87601/1/ABSTRACT.pdf; http://psasir.upm.edu.my/id/eprint/87601/; https://ieeexplore.ieee.org/document/8963981
• Institution: Universiti Putra Malaysia

Multivariate data sets (MDSs), with enormous size and certain ratio of noise/outliers, are generated routinely in various application domains. A major issue, tightly coupled with these MDSs, is how to compute their similarity indexes with available resources in presence of noise/outliers - which is...