Two-dimensional kernel density estimation.
This project provides two-dimensional kernel density estimation (KDE) functionality for numerical data in JavaScript. It's part of the stdlib standard library and allows users to estimate probability density functions from 2D data points using various kernels and bandwidth options. The library is designed for developers and researchers working with statistical analysis, data visualization, or scientific computing who need to analyze the distribution of two-dimensional datasets in JavaScript environments.
How the donated funds are distributed
Kivach works on the Obyte network, and therefore you can track all donations.