Unsupervised clustering is widely applied in single-cell RNA-sequencing (scRNA-seq) workflows. The goal is to detect distinct cell populations that can be annotated as known cell types or discovered ...
Agricultural Wireless Sensor Networks (AWSNs) are essential for real-time monitoring in precision farming, yet their lifetime is severely constrained by limited node energy and the difficulty of ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...