Background: Despite remarkable advancements in genomic technologies, individuals of predominant African-related genetic similarity remain significantly under-represented, accounting for only 2.4% of ...

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Reiji Mukudori enters an immersive VRMMO that's more realistic than he thought possible. Luckily, his big brother Shu is there to show him the ropes. Ray takes the perfect job and goes grinding for ...

A static binary analysis tool visualizes code blocks in the assembly of a disassembled binary file using the AHC algorithm, aided by entropy calculation and similarity measurement.

In cognitive diagnostic assessment (CDA), clustering analysis is an efficient approach to classify examinees into attribute-homogeneous groups. Many researchers have proposed different methods, such ...

Abstract: This paper presents an improved method for reducing high-order dynamical system models via clustering. Agglomerative hierarchical clustering based on performance evaluation (HC-PE) is ...

Abstract: Many previous researchers have converted background knowledge as constraints to obtain accurate clustering. These clustering methods are usually called constrained clustering. Previous ...