A technical paper titled “Impact of gate-level clustering on automated system partitioning of 3D-ICs” was published by researchers at Université libre de Bruxelles and imec. “When partitioning ...

Cluster analysis involves the problem of optimal partitioning of a given set of entities into a pre-assigned number of mutually exclusive and exhaustive clusters. Here the problem is formulated in two ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

A new technical paper titled “PPA-Aware Tier Partitioning for 3D IC Placement with ILP Formulation” was published by researchers at Seoul National University and Ulsan National Institute of Science ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

Data that have a multilevel structure occur frequently across a range of disciplines, including epidemiology, health services research, public health, education and sociology. We describe three ...