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 ...

A new technical paper titled “TA3D: Timing-Aware 3D IC Partitioning and Placement by Optimizing the Critical Path” was published by researchers at Pohang University of Science and Technology and Baum ...

This is a preview. Log in through your library . Abstract Question: Community ecologists are often confronted with multiple possible partitions of a single set of records of species composition and/or ...

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 ...

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 ...