Main parameters of optimization algorithms. حسب Pengyu Di (16985760)

Federated averaging algorithm. حسب Yan Qin (118276)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

Comparative results with existing representative algorithms. حسب Yan Qin (118276)

Sinkhorn Algorithm for Quantum Permutation Groups حسب Ion Nechita (11058968)

"…Our algorithm generates square matrices whose entries are orthogonal projections onto one-dimensional subspaces satisfying a set of linear relations. …"

Bash script for downloading records using Feature Generator API. حسب Paul J. Albert (10515299)

Clustering result generated by k-means clustering algorithm using features extracted from t-SNE. حسب Choon-Hian Goh (14185601)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

Algorithm stages for the clustering phase. حسب Julien Roche (611898)

"…The method relies on starting the clustering algorithm with an initial higher number of groups than expected from the ploidy level of the samples, followed by merging groups that are too close to each other to be considered as distinct genotypes. …"

Descriptive statistics of the study population, grouped by age. حسب Anmol Arora (9674334)

Out-of-sample accuracy vs. weighted <i>F</i>-score (comparison to ground-truth) for various clustering algorithms. حسب James Anibal (13899712)

Genes with rare, predicted damaging variants identified by exome sequencing in multiple affected members within 19 families with left sided defects. حسب David M. Gordon (3259002)

الموضوعات:

Final result UMAP-Gaussian mixture model-monophyletic cluster maximization: Full algorithm UMAP-GMMEM-MCIM results for the OMP phylogeny are shown by color and number. حسب Adrian N. Ortiz-Velez (17775800)

Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. حسب Yanis Asloudj (19711636)

"…While that approach is sensible, it has yet to address some conceptual challenges in single-cell data science; namely, ensemble algorithms have yet to generate clustering results with uncertainty values and multiple resolutions. …"

Revised 1: Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. حسب Yanis Asloudj (19711636)

"…While this approach is sensible, it has yet to address some conceptual challenges in single-cell data science; namely, ensemble algorithms have yet to generate clustering results with uncertainty values and multiple resolutions. …"

Presentation_1_AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple Phenotypes.pdf حسب Fengrong Liu (10698687)

"…First, AGNEP uses an agglomerative nesting clustering algorithm to group correlated phenotypes and then applies principal component analysis (PCA) to generate representative phenotypes for each group. …"

Comparison of run times for training and label prediction on synthetic datasets of increasing sizes (comparing HAL-X with other clustering algorithms routinely used with cytometry... حسب James Anibal (13899712)

A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm حسب Anonymous authors (for blind review purpose) (6473313)

A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm حسب Anonymous authors (for blind review purpose) (6473313)

A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm حسب Jiaxuan Shi (7455707)