Targeted ranking-based clustering using AHP K-means

• المؤلفون الرئيسيون: Suhailan, Safei, Mohd Kamir, Yusof, Abdul Samad, Shibghatullah
• التنسيق: مقال
• اللغة: English
• منشور في: International Center for Scientific Research and Studies 2015
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://eprints.unisza.edu.my/6922/1/FH02-FIK-15-04680.jpg; http://eprints.unisza.edu.my/6922/

K-Means can group similar objects features into specified number (K) of cluster centers region. Similarity is measured based on their closest distance of multiple features coordinate location. However, such distance measurement can be doubtful in satisfying certain clustering application as it does...