Data Fitting with MATLAB

Fit data using curves, surfaces, and nonparametric methods

Data fitting is the process of fitting models to data and analyzing the accuracy of the fit. Engineers and scientists use data fitting techniques, including mathematical equations and nonparametric methods, to model acquired data.

MATLAB® lets you import and visualize your data, and perform basic fitting techniques such as polynomial and spline interpolation. You can perform data fitting interactively using the MATLAB Basic Fitting tool, or programmatically using MATLAB functions for fitting.

MATLAB add-on products extend data fitting capabilities to:

Getting Started

Examples

Software Reference

See also: data analysis, mathematical modeling, smoothing, machine learning, data fiting videos