A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Under the terms of the Death in Custody Reporting Act, the Justice Department is required to collect information about everyone who dies in prisons and jails across the United States. The intention ...

usage: run_ckm.py [-h] [--ofile OFILE] [--n_rep N_REP] [--m_iter M_ITER] [--tol TOL] dfile cfile k Run COP-Kmeans algorithm positional arguments: dfile data file cfile constraint file k number of ...

Contributed by Shing-Tung Yau; received January 29, 2024; accepted July 19, 2024; reviewed by Stephan Huckemann and Jingyi Jessica Li Single-cell RNA sequencing (scRNA-seq) analysis, crucial for ...

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Abstract: Based on the kernel function, a method based on statistical learning theory, the basic principles and steps of the kernel K-means algorithm are introduced. The kernel K-means algorithm is ...