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You will need to implement at least two Matlab functions: HW3main.m and svmTrain.m. The implementation details are as follows:
function [alpha] = svmTrain(X,T,kernel,C,sigma)% alpha: a solution vector for SVM.% X: training input vectors.% T: training targets.% kernel: a type of kernel function, either linear, or rbf.% C: the margin parameter.% sigma: the rbf kernel parameter.
HW3main.m implements reading in the data files, calling svmTrain.m, pre- dicting and plotting.
Test your implementation using datasets provided at the class web site. In the datasets, the first two columns represent the input vector and the last column is for the class label.
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clear clc %% DATA INPUT filename = input('Enter file name, including its extension: ', 's'); D = load(filename); %or load('Mphi.out'); %% %Trendline %Evaluates
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Create a function using mat lab to generate a sinusoidal signal. The parameters of the signal should have an Amplitude = 100, frequency = 100Hz, initial phase = 0, sample rate = 50
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Your task is to implement the PHYSAT algorithm in Matlab to classify the phytoplankton species in the data you have selected. An algorithm demonstrating one solution is provided be
x=3y+1
Goal: Learn how to do statistics, sorting and curve fitting in Matlab. Put all of those ".m" files in a folder called yourname_lab7, and zip the folder and submit it on the class w
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