Q3. Given the dataset in the next table, compute the covariance matrix and eigenvalues using PCA Algorithm. Feature 1 4 6 13 Feature 2 2 3 5

Find the exact distribution for the Wilcoxon rank sum statistics W2 and U2 when n1 = 4, n2 = 2. Use this to find P (U2 ≤ 3) and P (U2 ≥ 8). calculate without using python codes

What Is The sample linear correlation?

MATLAB

In order to address scale dependency of the correlation formula Corr, y = ENE x[n]y[n] we use O Convolution O Length Normalized Correlation Correlation with j=lag O Normalized correlation

Consider the Karhunen-Loeve decomposition of the variance covariance matrix Σ as QAQT with Q=(V₁ v ... 2 Vp) and A = diag(11, 12, ..., λp), as seen in lectures. Match the following statements. tr(1) ✓ Choose... This is an identity matrix. i=1 Στη λινιντ Viv =1 This is the inverse of the variance covariance matrix. This is the total variance. This is the variance covariance matrix. VV Choose...

Find the compliment of F(w,x,y,z) = wx + yz and show that F.F bar = 0 and F+F bar = 1 using truth table.

PLEASE ANSWER USING MATLAB OR OCTAVE. SHOW ALL CODING STEPS

Please answer in MATLAB. Once you have a good approximate eigenvalue, look at the error in previous approximations and comment on the rate of convergence of the power method.

Suppose that the minimum and the maximum values of the attribute cholesterol level are 104 and 253, respectively. Use min-max normalization to transform the value 148 for cholesterol level onto the range [0.0, 1.0). Round your result to one decimal place.