Ma, Jungmok - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 2, pp. 1-12
One of major obstacles in the application of the k-means clustering algorithm is the selection of the number of clusters k. The multi-attribute utility theory (MAUT)-based k-means clustering algorithm is proposed to tackle the problem by incorporating user preferences. Using MAUT, the decision...