Discover how machine learning is helping researchers identify different groups of chronic obstructive pulmonary disease (COPD ...

The latest information from the National Intellectual Property Administration shows that Hunan Wocheng Technology Co., Ltd. has jointly applied for a patent titled "A Big Data Analysis System and ...

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 ...

State Key Laboratory of Fine Chemicals, Research and Development Center of Membrane Science and Technology, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China ...

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 ...

Abstract: We propose the Compact Clustering Attention (COCA) layer, an effective building block that introduces a hierarchical strategy for object-centric representation learning, while solving the ...