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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.
Write a Matlab function that computes y1= tan(x) and y2= sin(x)/cos(x), returns the difference |y1–y2| and prints a message whether the two are equal or not. Test your function for
how to display any words to the edittor
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Write a function called threshold2 (in a file called 'threshold2.m'). The function takes an arbitrary number of input variables. The first input variable, t, is required and is the
Calling an User-Defined Function from Script: Now, we will change our script which prompts the user for the radius and computes the area of a circle, to call our function cal
Ant Colony Optimization for Optimization of Route path taken Ant Colony Algorithm is a potential candidate for coupled, 3D optimisation. Ant Colony Algorithm enjoys the overall
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Perform the convolution of following sequences (a) x[n] = [1 2 3], N1 = 1 and h[n] = [1 - 1], N2 = 1 (b) x[n] = [1 2 3], N1 = 2 and h[n] = [1 - 1], N2 = 1 (c) x[n] = [1 2 3], N1 =
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The occurrence of bushfires in the Port Stephens area may be modelled by a Poisson process. The average occurrences of bushfires n is assumed to be either 15 (event A 1 ), 20 (even
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