Findings from Shanxi University Provide New Insights into Algorithms

摘要

According to the authors of a study from Taiyuan, People's Republic of China, "The leading partitionalnclustering technique, k-modes, is one of the most computationally efficient clustering methods forncategorical data. However, in the k-modes-type algorithms, the performance of their clustering dependsnon initial cluster centers and the number of clusters needs be known or given in advance."