The purpose of selective clustering ensemble is to select a subset of base clustering partitions with predictive performance and combine these partitions into more accurate and stable final results. Traditional approaches tend to utilize the well-known validity criteria such as NMI to evaluate the quality and diversity of base clustering partitions in the selection process. However. t... https://www.roneverhart.com/Fixed-Blade-p9535/