To support our claim, we implemented three clustering methods that were used prior to partitioning two synthetic designs representing two extremes of the circuits medium/long interconnect diversity ...

4. Progressive partitioning was used to produce a more detailed analysis, by allowing comparison and combination of clusters identified by different techniques and by avoiding the subjective ...

Ensemble clustering methods combine multiple clustering results to yield a consensus partition that is often more robust, accurate and stable than any single clustering solution.

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 ...

It is sometimes useful in an analysis of variance to split the treatments into reasonably homogeneous groups. Multiple comparison procedures are often used for this purpose, but a more direct method ...

Novel machine learning-based cluster analysis method that leverages target material property New cluster analysis technique for grouping materials based on both basic features and targeted ...

Multivariate Clustering Analysis Multivariate Clustering Analysis Course Topics Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable ...