Smoothing

Fit using smoothing splines and localized regression, smooth data with moving average and other filters

Apps

Curve FittingFit curves and surfaces to data

Functions

datastatsData statistics
excludedataExclude data from fit
fitFit curve or surface to data
fittypeFit type for curve and surface fitting
fitoptionsCreate or modify fit options object
getGet fit options structure property names and values
setAssign values in fit options structure
smoothSmooth response data
prepareCurveData Prepare data inputs for curve fitting
prepareSurfaceDataPrepare data inputs for surface fitting

Topics

Smoothing Splines

Fit smoothing splines in Curve Fitting app or with the fit function to create a smooth curve through data and specify the smoothness.

Lowess Smoothing

Fit smooth surfaces to your data in Curve Fitting app or with the fit function using Lowess models.

Filtering and Smoothing Data

Use the smooth function to smooth response data, using methods for moving average, Savitzky-Golay filters, and local regression with and without weights and robustness (lowess, loess, rlowess and rloess).

Fit Smooth Surfaces To Investigate Fuel Efficiency

This example shows how to use Curve Fitting Toolbox™ to fit a response surface to some automotive data to investigate fuel efficiency.

Nonparametric Fitting

Nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.

Curve Fitting Toolbox Documentation
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Machine Learning Challenges: Choosing the Best Classification Model and Avoiding Overfitting

Machine Learning Challenges: Choosing the Best Classification Model and Avoiding Overfitting

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