Linear Algebra and Matlab

In this MATLAB assignment, you will implement two different least-squares based multiclass classifiers on real data set (provided later) (a) Let us first look at the binary least-squares classifier. Consider data points (x1,V1), .. , (xN,yn) where x, denotes the feature vector and yi E5-1,1) e R is the corresponding label for the ith data point. Given N training data points, we first try to find the best regression model by solving the following least squares problem Let *,a* be the solution of the above problem. Then the binary least squares classifier, denoted by f(x), determines the label for an arbitrary feature data x as sign ( + The function sign() is defined as a > 0 1 a 0 1 a