An new algorithm-based rough set for selecting clustering attribute in categorical data

• المؤلفون الرئيسيون: Baroud, Muftah Mohamed Jomah, Mohd. Hashim, Siti Zaiton, Zainal, Anazida, Ahnad, Jamilah
• التنسيق: Conference or Workshop Item
• منشور في: 2020
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/92464/; http://dx.doi.org/10.1109/ICACCS48705.2020.907448313581364

Several algorithms strategies based on Rough Set Theory (RST) have been used for the selection of attributes and grouping objects that show similar features. On the other hand, most of these clustering techniques cannot deal tackle partitioning. In addition, these processes are computationally compl...