Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

New 100 mg/dL Target Glucose setting offers more customization and tighter glucose management. Enhanced algorithm helps users remain in Automated Mode to improve the user experience. Most requested ...

Abstract: Summary form only given. Here we present a disk-based parallel formulation of the multilevel k-way hypergraph partitioning algorithm. This algorithm provides the capability to partition very ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Nearly a month into the ICE sweeps that have upended immigrant life in Southern California, I found myself rummaging through some boxes in my garage, searching for understanding. I pulled out dusty ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Abstract: Graph partitioning used in many fields is an important problem in graph theory so that an efficient algorithm for graph partitioning is meaningful. But graph partitioning is a NP-complete ...

1 Facultad de Ingeniería, Universidad Andres Bello, Santiago, Chile. 2 Department of Mining Engineering, Universidad de Chile, Santiago, Chile. 3 Advanced Mining Technology Center, Universidad de ...

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