While some organizations rely on supervised machine learning to train predictive models using labeled data, unsupervised learning is gaining traction for revealing hidden patterns and insights. Within ...

One common use of unsupervised learning is in clustering, where the algorithm groups similar items together. For instance, e-commerce websites use unsupervised learning to segment customers into ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab ...

Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with Physics and Informatics (PHI) Lab at NTT Research, Inc., have ...