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1) Convert the table into format convenient for the processing with MATLAB.
2) Prepare a program that perform K Nearest Neighbours algorithm using Euclidian distance. (Your program should not utilise the MATLAB function for KNN)
3) For each row (instance) from the table prepare the results of the cross-validation: for each instance apply the program for different values of K = 1,2,3,4,5. Analyse the accuracy of the classification using cross-validation and visualize your results.
4) Please create a decision tree for prediction of USA presidential elections. Select randomly several example of each class for the test set and exclude them from the training set. Find the training and the test set errors.
5) Which method works better for this dataset? Explain please.
6) Please write a conclusion.
I am doing project "Recognizing people in video based on their body" the system will use MATLAB to detect people based on thier body and then recognize them from their clothes "us
how can i used loops instead of polyfit function
Documentation: It is very important that all the scripts be documented well, so that the people can understand what the script does and how it accomplishes that. One way of do
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The Colon Operator: If the values in the vector are regularly spaced, the colon operator is used to iterate through these values. For illustration, 1:5 results in all the inte
Background Protein therapeutics are a major component of the biotechnology industry, with sales estimated in the range of ~$99bn annually (2011) and steady market growth. Many phar
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The purpose of this assignment is to use Matlab/Simulink to analyse and simulate a mathematical model of an electromechanical system. This system comprises two component subsystems
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