Fitting a curve is very useful technique used in Machine learning.We use ‘fit’ function in MATLAB to fit a curve to our data set.Output 1 and Output 2 represent the data attributes and the model respectively. The steps to be followed for this example are:Īs we can see in Output 3, we have obtained a curve that fits our data. We will load this data to our workspace and will fit a curve to it.
It has 2 attributes ‘cdate’ and ‘pop’ representing ‘census date’ and ‘population’. The data is of the US and gives the population of the country in a particular year. In this example, we will use the ‘census’ data provided by MATLAB. This is how our input and output will look like in the Matlab command window:Īs we can see in Output 3, we have obtained a smoothing spline curve that fits our data. C = fit(Acceleration, Displacement, ‘smoothingspline’)
Smoothing data matlab 2008 code#
The code will be similar as in the above example with a change in line 3ģ. Let us try to fit ‘smoothingspline’ curve to the above data. In the same example, we can also fit a different type of curve as per our requirement. This is how our input and output will look like in MATLAB command window:Īs we can see in Output 3, we have obtained a curve that fits our data. C = fit(Acceleration, Displacement, ‘poly2’)
Load the ‘carsmall’ data to the workspace.The steps to be followed for this example are: We will load this data to our workspace and will fit a curve to its attributes ‘Acceleration’ and ‘Displacement’. which represent various features of a car. It has attributes like ‘Acceleration’, ‘Cylinders’, ‘Horsepower’ etc. The data is of various attributes of cars manufactured over the years 1970, 1976, and 1982. In this example, we will use the ‘carsmall’ data provided by MATLAB. We will need some data to which we will fit the curve, for our examples, we will use some inbuilt data sets provided by MATLAB like ‘carsmall’ and ‘census’.
Smoothing data matlab 2008 how to#
Let us now understand how to fit a curve or a surface to data in MATLAB:
The type of model or curve to be fit is given by the argument ‘fitType’ fitobject = fit (a, b, fitType) is used to fit a curve to the data represented by the attributes ‘a’ and ‘b’.Hadoop, Data Science, Statistics & others