hono-cluster is a lightweight module for running Hono applications with optional clustering support. It allows you to efficiently utilize multiple CPU cores by spawning worker processes.

Abstract: Machine learning (ML) has emerged as a pillar across many industries, improving efficiency and productivity in a wide range of applications. As more organizations utilize cloud services to ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...