In this work, we propose HC-SMoE (Hierarchical Clustering for Sparsely activated Mixture of Experts), a task-agnostic expert merging framework that reduces SMoE model parameters without retraining.

This project applies hierarchical clustering to group car models by attributes like horsepower, price, and fuel efficiency. It involves data preprocessing, cluster analysis, and visualization to ...

Abstract: The study applies a dataset comprising of more than 20,000 documents to a comprehensive comparative analysis of clustering algorithms: Mean Shift, Hierarchical and K-Means. The study's main ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With China’s emphasis on and promotion of gas development, gas has become one of the ...

Abstract: Driver behavior profiling plays a vital role in understanding patterns that impact road safety and crash risks. The methodology comprises three key phases: exploration, profiling, and ...