Background In recent years, the introduction of single-cell RNA sequencing (scRNA-seq)
has enabled the analysis of a cell's transcriptome at an unprecedented granularity and …

Clustering is intractable, so techniques exist to give a best approximation. Expectation
Maximization (EM), initially used to impute missing data, is among the most popular …

To deal with the unimaginable continual growth of data and the focus on its use rather than
its governance, the value of data has begun to deteriorate seen in lack of reproducibility …

This paper introduces a new parallel clustering algorithm, named Feel-the-Way clustering
algorithm, that provides better or equivalent convergence rate than the traditional clustering …

Background: In recent years, the introduction of single-cell RNA sequencing (scRNA-seq)
has enabled the analysis of a cell's transcriptome at an unprecedented granularity and …

High-performance computing (HPC) and machine learning (ML) have been widely adopted
by both academia and industries to address enormous data problems at extreme scales …

Data-centric AI (DCAI) is an emerging paradigm that prioritizes the quality, diversity, and
representation of data over model architecture and hyperparameter tuning. DCAI …

This paper proposes a Feel-the-Way clustering method, which reduces the synchronization
and communication overhead, meanwhile providing as good as or better convergence rate …