gaussian-fit

Fit time/spectrum/other sequential data with a set of gaussians by expectation-maximization algoritm.

Usage

```js const fit = require('gaussian-fit') //time/frequency/etc series let data = 0, .1, .2, .5, .2, .1, 0 let how = {

//predefined components, each one is object {weight, mean, variance}

//if null - the components will be detected automatically

components: null,

//max number of components in case of auto-detection

maxNumber: 100,

//max number of iterations

maxIterations: 200,

//min difference of likelihood

tolerance: 1e-5,

} let components = fit(data, how) components.forEach({weight, mean, variance} => {

//every component is an object with weight, mean and variance properties

}) ```

fit(data, components?)

Also see webgl version gaussian-fit/gl for better performance.

Similar

• gaussianmixture — classical gaussian mixture for 1d samples